{"id":"W7090315781","doi":"10.5281/zenodo.17343860","title":"Résumé à l'intention des décideurs de l'évaluation thématique des causes sous-jacentes de la perte de biodiversité et des déterminants du changement transformateur, ainsi que des solutions possibles afin de réaliser la Vision 2050 pour la biodiversité (évaluation du changement transformateur)","year":2024,"lang":"fr","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Globalization, Historical Perspectives, and International Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biodiversity; Thematic map; Transformative learning; Thematic analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004688718,0.001008985,0.0004240588,0.004124771,0.001868306,0.00720654,0.0006317219,0.00171882,0.03217046],"category_scores_gemma":[0.007435925,0.0002088492,0.0007168091,0.004067452,0.001651615,0.00163305,0.001244549,0.001752661,0.006595137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007680038,"about_ca_system_score_gemma":0.01019843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1207067,"about_ca_topic_score_gemma":0.05801402,"domain_scores_codex":[0.9977589,0.0008043135,0.0001562105,0.0002098359,0.000872132,0.0001986535],"domain_scores_gemma":[0.9944115,0.002728945,0.0003083813,0.0002193206,0.002169336,0.0001625855],"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":[0.000257069,0.0001120589,0.002983164,0.002681315,0.00006465627,0.0004545826,0.003539273,0.00295227,0.002419262,0.1296237,0.6477762,0.2071364],"study_design_scores_gemma":[0.00001068161,0.00003500643,0.004642455,0.0009546903,0.00002375005,0.00009620138,0.00120541,0.0002832841,0.001469877,0.006582995,0.9846735,0.00002219159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01769052,0.1200956,0.03418306,0.1857813,0.0121808,0.001297764,0.03787477,0.001057549,0.5898387],"genre_scores_gemma":[0.1988045,0.1244903,0.03275462,0.02064347,0.008682124,0.001870662,0.02343939,0.0007707562,0.5885442],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1207067,"threshold_uncertainty_score":0.2400082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0946479826981555,"score_gpt":0.3228756192692433,"score_spread":0.2282276365710878,"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."}}