{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"9321c524ddec","filters":{"venue":"Nepalese journal of geoinformatics/Journal of geoinformatics Nepal"}},"results":[{"id":"W4381283936","doi":"10.3126/njg.v22i1.55123","title":"Estimation of Above Ground Biomass and Carbon Stock using UAV images","year":2023,"lang":"en","type":"article","venue":"Nepalese journal of geoinformatics/Journal of geoinformatics Nepal","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Fanshawe College","funders":"","keywords":"Environmental science; Tree allometry; Allometry; Greenhouse gas; Carbon stock; Carbon sequestration; Stock (firearms); Forestry; Atmospheric sciences; Biomass (ecology); Remote sensing; Mathematics; Carbon dioxide; Climate change; Ecology; Geography; Biology; Geology","authors":[{"name":"Sandesh Upadhyaya","is_ca":false},{"name":"Prabin Gyawali","is_ca":false},{"name":"Sambhav Sapkota","is_ca":true},{"name":"Nishan Neupane","is_ca":false},{"name":"Manoj Neupane","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0156563327323188,"gpt":0.2593269143510725,"spread":0.2436705816187537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012553,0.0004637639,0.0002316515,0.001691943,0.0001117247,0.0002843845,0.0002493606,0.0002294406,0.0008538513],"category_scores_gemma":[0.0003058439,0.0001391727,0.0002870949,0.0009544048,0.00007176295,0.000346321,0.000170623,0.0001410143,0.0002747641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001596948,"about_ca_system_score_gemma":0.0001034816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004930673,"about_ca_topic_score_gemma":0.009561679,"domain_scores_codex":[0.9998934,0.00001145854,0.000006790991,0.00003346541,0.0000372015,0.00001767637],"domain_scores_gemma":[0.9998378,0.00003021081,0.00004070445,0.00001839434,0.00006167874,0.00001124941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003058752,0.0002383583,0.3862787,0.0006570301,0.0002935108,0.0009239415,0.0003949006,0.07621519,0.215278,0.001019811,0.002366748,0.3160279],"study_design_scores_gemma":[0.00001532426,0.0001813125,0.6414509,0.00006693049,0.0001000266,0.0004516427,0.0004202537,0.3109359,0.04360354,0.0003823774,0.002346652,0.00004512481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546127,0.0003402982,0.03830324,0.00002481739,0.00001711392,0.00007082106,0.003099577,0.0006327038,0.002898642],"genre_scores_gemma":[0.9538665,0.0001953917,0.04347363,0.00001297175,0.000006733659,0.00004446801,0.001706965,0.00002369136,0.0006696465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004930673,"threshold_uncertainty_score":0.009803951,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7163023609","doi":"10.3126/njg.v2i1.51456","title":"Land management and human resource development policies in Nepal","year":2003,"lang":"","type":"article","venue":"Nepalese journal of geoinformatics/Journal of geoinformatics Nepal","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"3v Geomatics (Canada)","funders":"","keywords":"Livelihood; Land management; Natural resource; Land use; Context (archaeology); Nepali; Natural resource management; Sustainable development; Human resources","authors":[{"name":"Hari Prasad","is_ca":true},{"name":"Mahendra Prasad Sigdel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01478006239514454,"gpt":0.2226017195202516,"spread":0.2078216571251071,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006005458,0.00008287659,0.0001020417,0.0007926294,0.001402804,0.00340001,0.0004962086,0.0008825534,0.003774748],"category_scores_gemma":[0.002065799,0.0001693101,0.00008338408,0.001098976,0.001652315,0.001582881,0.001881105,0.0009400796,0.0002431273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005312981,"about_ca_system_score_gemma":0.004598665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02612782,"about_ca_topic_score_gemma":0.03953557,"domain_scores_codex":[0.9992335,0.0002169424,0.00003419445,0.00006434699,0.0001139381,0.0003370194],"domain_scores_gemma":[0.9992802,0.0002881948,0.0001332525,0.00003310685,0.0001165961,0.000148604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000104291,0.0002168955,0.05222553,0.0006039283,0.00005994587,0.003591814,0.02288088,0.006782994,0.003061347,0.7618607,0.01422763,0.1343841],"study_design_scores_gemma":[0.00004878496,0.000308247,0.2841215,0.0008947537,0.00005161592,0.001638152,0.03856609,0.007013468,0.003155173,0.06379246,0.6003047,0.0001051556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6991801,0.005361653,0.001089497,0.03416695,0.0000472408,0.00007937691,0.0004479861,0.00004623916,0.2595809],"genre_scores_gemma":[0.9744394,0.002222397,0.0005908529,0.001943345,0.00002013066,0.00006139525,0.000113819,0.000006685618,0.02060201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02612782,"threshold_uncertainty_score":0.05195147,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}