{"id":"W4211100524","doi":"10.4000/vertigo.32470","title":"Intelligence artificielle, données volumineuses et conservation de la biodiversité.","year":2021,"lang":"fr","type":"article","venue":"VertigO","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01057599,0.001174265,0.001224484,0.00629376,0.001144388,0.01128018,0.002042071,0.003452167,0.006731908],"category_scores_gemma":[0.03550972,0.0007055383,0.001523577,0.00774998,0.006018842,0.01078761,0.003979718,0.00269466,0.001208717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003674904,"about_ca_system_score_gemma":0.002718489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007564816,"about_ca_topic_score_gemma":0.005215023,"domain_scores_codex":[0.9881886,0.00447266,0.0009185134,0.001438615,0.004676743,0.0003049221],"domain_scores_gemma":[0.9587963,0.03313682,0.002353212,0.002715825,0.002509403,0.0004885946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002109598,0.0001316639,0.008522145,0.00373094,0.0003413612,0.0006352856,0.00321916,0.02014102,0.002844048,0.5476294,0.01504899,0.3975451],"study_design_scores_gemma":[0.00003576583,0.00009892303,0.0095804,0.001830138,0.0001579533,0.001384817,0.002493495,0.03875767,0.003807521,0.696314,0.2453738,0.0001654767],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04234684,0.1804294,0.5789557,0.03107175,0.001472801,0.0005228149,0.00257816,0.001754598,0.160868],"genre_scores_gemma":[0.4992484,0.08832699,0.3620635,0.005688443,0.001420559,0.001126903,0.00384383,0.0005084975,0.03777302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01128018,"threshold_uncertainty_score":0.05593187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04699983574316415,"score_gpt":0.2626730432193226,"score_spread":0.2156732074761584,"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."}}