{"id":"W6930707339","doi":"10.5281/zenodo.14190868","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":"Peptidase Inhibition and Analysis","field":"Medicine","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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00522021,0.001271083,0.0005000593,0.004056901,0.00162335,0.006353388,0.0007812622,0.002221764,0.03222117],"category_scores_gemma":[0.007306792,0.0002466363,0.0008437716,0.002964176,0.001300724,0.001537649,0.001127549,0.00186353,0.009636137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007271643,"about_ca_system_score_gemma":0.009828872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1059946,"about_ca_topic_score_gemma":0.05129844,"domain_scores_codex":[0.9968565,0.0008927325,0.0002219666,0.0002910343,0.001457958,0.0002797972],"domain_scores_gemma":[0.9945133,0.002318052,0.0003966823,0.000256872,0.002336053,0.0001791269],"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":[0.0004860105,0.0001908839,0.002723479,0.003136402,0.00009249517,0.0005783775,0.001474977,0.003096394,0.004830871,0.07938866,0.6624172,0.2415843],"study_design_scores_gemma":[0.000017934,0.00007216918,0.003914014,0.0008109775,0.00003011585,0.0001370118,0.0004583701,0.0002981094,0.003435313,0.004254684,0.9865451,0.00002608058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01783838,0.166722,0.0399399,0.1471053,0.01233491,0.001808967,0.04454878,0.001549765,0.568152],"genre_scores_gemma":[0.1407055,0.1293699,0.03798972,0.01915049,0.008756252,0.001894969,0.02612703,0.0008157464,0.6351904],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1059946,"threshold_uncertainty_score":0.2107552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08415846282971913,"score_gpt":0.3113929497832437,"score_spread":0.2272344869535246,"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."}}