{"id":"W4404087899","doi":"10.7202/1114021ar","title":"D’Aichi à Montréal : coup de projecteur sur le nouveau Cadre mondial de la biodiversité à l’horizon 2030","year":2023,"lang":"fr","type":"article","venue":"Revue québécoise de droit international","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Geography; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001622907,0.0005795741,0.0001875555,0.0008643577,0.007326595,0.005848768,0.001132728,0.001692291,0.01775713],"category_scores_gemma":[0.002177453,0.0003848361,0.0003619858,0.001287159,0.002696207,0.001454769,0.00377731,0.002413338,0.001120278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03802881,"about_ca_system_score_gemma":0.08842854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.897715,"about_ca_topic_score_gemma":0.9624794,"domain_scores_codex":[0.9983891,0.0002239769,0.00002743505,0.0001666097,0.0005545999,0.0006382116],"domain_scores_gemma":[0.9983676,0.0001287789,0.00008356282,0.00009100248,0.0007308128,0.0005981727],"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":[0.0004588991,0.0001214148,0.03389191,0.0007557756,0.0001870149,0.002640546,0.01999751,0.002865478,0.009222738,0.3976173,0.327381,0.2048605],"study_design_scores_gemma":[0.00002113463,0.00005999081,0.02648722,0.0001590597,0.00002716863,0.00009308986,0.004086803,0.0003530731,0.001104679,0.002161012,0.9653985,0.00004822369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1300842,0.01262856,0.004595573,0.07485449,0.002306905,0.0004513659,0.00140352,0.0002964952,0.773379],"genre_scores_gemma":[0.5035168,0.005609892,0.004385847,0.007509056,0.0001946401,0.0002019882,0.0006502491,0.00008743549,0.4778441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.102285,"threshold_uncertainty_score":0.2759196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395512887212176,"score_gpt":0.2246675738374882,"score_spread":0.2107124449653665,"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."}}