{"meta":{"query_hash":"46c5dd0d18a5","filters":{"venue":"Forestry Journal of Institute of Forestry Nepal"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/46c5dd0d18a5","api":"https://metacan.xera.ac/api/v1/cohort?venue=Forestry+Journal+of+Institute+of+Forestry+Nepal"},"results":[{"id":"W4411216885","doi":"10.3126/forestry.v21i1.79686","title":"Land Use Land Cover Change Prediction of Tansen Municipality Using Multi-Layer Perceptron-Markov Chain (MLP-MC) Model","year":2024,"lang":"en","type":"article","venue":"Forestry Journal of Institute of Forestry Nepal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Land cover; Markov chain; Perceptron; Cover (algebra); Layer (electronics); Land use; Multilayer perceptron; Environmental science; Computer science; Remote sensing; Geography; Artificial intelligence; Artificial neural network; Machine learning; Engineering; Civil engineering; Chemistry","score_opus":0.09785608098591057,"score_gpt":0.2819588890523609,"score_spread":0.1841028080664503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411216885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98379123,0.00022467031,0.01129729,0.00022094551,0.000029611136,0.000023384986,0.001976242,0.000348727,0.002087864],"genre_scores_gemma":[0.9957088,0.000073374285,0.0019269191,0.000012652328,0.000006759179,0.000016593654,0.0014224215,0.000014117195,0.00081843033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999057,0.0000134217935,0.0000075369753,0.00003340348,0.00001542201,0.000024551267],"domain_scores_gemma":[0.99983716,0.00004912758,0.000023610435,0.000012587033,0.000056280907,0.000021273003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027598024,0.00035266715,0.00025852796,0.00066825,0.00022664864,0.0005069789,0.00039722238,0.00036801735,0.0016135513],"category_scores_gemma":[0.00067067926,0.0001812803,0.0007981779,0.0006415234,0.00015432041,0.00039052995,0.0003302947,0.00038594435,0.00033665658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001444984,0.00013651795,0.2330628,0.00010523777,0.00012620418,0.00041666708,0.00013002295,0.73325026,0.0021875226,0.0006713244,0.0022550633,0.027513878],"study_design_scores_gemma":[0.0000042985894,0.000012534359,0.019966612,0.000009616944,0.000015068724,0.000017686412,0.000040952797,0.97916484,0.00024885565,0.00017288582,0.00033958137,0.000007065068],"about_ca_topic_score_codex":0.09649767,"about_ca_topic_score_gemma":0.09415919,"teacher_disagreement_score":0.09649767,"about_ca_system_score_codex":0.0007617354,"about_ca_system_score_gemma":0.00072599924,"threshold_uncertainty_score":0.19187194},"labels":[],"label_agreement":null}]}