{"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":"c955461e9513","filters":{"venue":"Forestist"}},"results":[{"id":"W3112295630","doi":"10.5152/forestist.2020.202046","title":"Spatial distribution of urban vegetation: A case study of a Canadian University Campus using LiDAR-based metrics","year":2020,"lang":"en","type":"article","venue":"Forestist","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Lidar; Remote sensing; Vegetation (pathology); Geography; Spatial distribution; Environmental science; Physical geography","authors":[{"name":"Derya Gülçin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01966857054808691,"gpt":0.2059543771395327,"spread":0.1862858065914458,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005481863,0.0003487401,0.0002679405,0.002113866,0.003208806,0.001492876,0.001178069,0.0005402077,0.001277946],"category_scores_gemma":[0.001506927,0.000215191,0.0003391464,0.005472889,0.00118327,0.0004604707,0.0009527825,0.0003994289,0.0001541012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01429372,"about_ca_system_score_gemma":0.00740196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.961207,"about_ca_topic_score_gemma":0.989279,"domain_scores_codex":[0.9994127,0.00009163439,0.0000174185,0.00008738838,0.0001890926,0.0002018872],"domain_scores_gemma":[0.9991405,0.0002406047,0.00007826488,0.00005777971,0.0003323782,0.0001503888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003270302,0.0007558776,0.8089626,0.0003118595,0.0001419741,0.0088713,0.02055935,0.03119772,0.006880704,0.005365598,0.004492231,0.1121337],"study_design_scores_gemma":[0.00002402982,0.0001670006,0.8833696,0.00008105001,0.00007315377,0.001096069,0.06002294,0.04318307,0.00183078,0.0005286497,0.009517767,0.0001058614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950499,0.00009358134,0.0007308177,0.000124761,0.000002759749,0.00007300275,0.0007513576,0.00002504876,0.003148829],"genre_scores_gemma":[0.9964005,0.0001353982,0.001954637,0.0000192973,0.000001547247,0.0000158809,0.0003407077,0.00001100957,0.001121056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03879303,"threshold_uncertainty_score":0.1037087,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385951681","doi":"10.5152/forestist.2021.21021","title":"An Analysis on the Competitiveness and Specialization Levels of the Countries in the Export of Wood and Articles of Wood","year":2022,"lang":"en","type":"article","venue":"Forestist","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Business; Economic geography; International trade; Agricultural economics; Economics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02357293893644051,"gpt":0.2258360922788892,"spread":0.2022631533424486,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054194,0.0002129779,0.0002417557,0.002912268,0.0003221124,0.0008112538,0.0001335515,0.0001584339,0.00252769],"category_scores_gemma":[0.001164231,0.0000969019,0.0006031391,0.003614708,0.0002923144,0.0005509014,0.0005702948,0.0002036866,0.0004639839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003340741,"about_ca_system_score_gemma":0.0003566563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004184206,"about_ca_topic_score_gemma":0.004072437,"domain_scores_codex":[0.9995635,0.00005954991,0.00004465364,0.00007405497,0.0001057795,0.0001524197],"domain_scores_gemma":[0.9985323,0.0002702622,0.0006272474,0.00006191518,0.0002978903,0.0002103861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005528421,0.00002201824,0.9909217,0.00003910641,0.00006829867,0.0002643102,0.000335883,0.0003828613,0.0009348207,0.0003548674,0.0002002969,0.006420498],"study_design_scores_gemma":[0.000001241982,0.00003114117,0.9978698,0.000008071616,0.00001277023,0.000131602,0.0008922443,0.0001793114,0.0002078638,0.00003319028,0.0006295715,0.000003105189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963523,0.0001285431,0.000116708,0.00002186396,0.000001368145,0.000004434497,0.0004434861,0.000002157379,0.002929067],"genre_scores_gemma":[0.9980342,0.0001070496,0.0001832844,0.000007129821,0.000003935495,0.000004596322,0.001185149,0.000001892544,0.00047279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004184206,"threshold_uncertainty_score":0.008455932,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}