{"id":"W4393496271","doi":"10.5281/zenodo.3246552","title":"Avian community survey by mark-recapture method in a leafy forest of the Station de Biologie des Laurentides, Université de Montréal","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Leafy; Geography; Forestry; Mark and recapture; Biology; Horticulture; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001098756,0.001067779,0.0008845739,0.002824445,0.0008476663,0.001125077,0.001930897,0.0007914994,0.01965651],"category_scores_gemma":[0.003559905,0.0005963976,0.0006259048,0.005042139,0.0002674451,0.0005700358,0.001015112,0.0009566106,0.01303971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002993172,"about_ca_system_score_gemma":0.004575795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5280896,"about_ca_topic_score_gemma":0.69917,"domain_scores_codex":[0.9992655,0.00008491394,0.00006597482,0.0002657061,0.0001715651,0.0001463256],"domain_scores_gemma":[0.9972404,0.00029014,0.0003960218,0.0004878883,0.001196196,0.0003893737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001995655,0.00005915177,0.04679896,0.0008357751,0.0002339239,0.0001434231,0.0001720195,0.0006487561,0.0005352504,0.0006601488,0.9412201,0.008492901],"study_design_scores_gemma":[0.0003262154,0.00004563727,0.3086804,0.0005360721,0.000146421,0.0001357798,0.0003786055,0.001189636,0.0008181501,0.0005198587,0.6871409,0.00008238387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002134945,0.00008983127,0.0001815247,0.00003664137,0.00001389488,0.00003352431,0.9966487,0.00009697776,0.0007639599],"genre_scores_gemma":[0.004870719,0.00006401318,0.0009043721,0.00004966423,0.00001028456,0.0001802163,0.9921103,0.00004748856,0.00176299],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5280896,"threshold_uncertainty_score":0.9493792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04692619373537674,"score_gpt":0.2518965959047713,"score_spread":0.2049704021693945,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}