{"id":"W7133268411","doi":"","title":"Évaluation du crabe des neiges du plateau néo-écossais en 2023","year":2025,"lang":"fr","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plateau (mathematics); Environmental policy; Bioeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0009507703,0.0004998761,0.0004211196,0.0005203499,0.0002959918,0.001044131,0.0005167634,0.0005495687,0.002037482],"category_scores_gemma":[0.00119454,0.0002224238,0.0007841528,0.0006420962,0.0002396574,0.0004879985,0.0003892299,0.0002441339,0.0004116789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014695,"about_ca_system_score_gemma":0.0009991827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0901749,"about_ca_topic_score_gemma":0.1246212,"domain_scores_codex":[0.9997508,0.00004489817,0.00001125394,0.00006029414,0.00007859774,0.0000543071],"domain_scores_gemma":[0.9994907,0.0001039088,0.00003901145,0.00002724758,0.0002771154,0.00006201647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007623526,0.0002597331,0.5842935,0.000209973,0.0002755043,0.0006333242,0.0002168874,0.3486196,0.01927416,0.0007262892,0.001351788,0.04337689],"study_design_scores_gemma":[0.00006400092,0.0005601738,0.4576828,0.00005962208,0.0001395822,0.0001326705,0.0008241843,0.5288506,0.006617008,0.0004736186,0.004551788,0.00004400804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949162,0.0002246647,0.001805433,0.00008794684,0.000009385524,0.0000190616,0.001087765,0.00008622895,0.001763308],"genre_scores_gemma":[0.993045,0.0001155263,0.002426833,0.00002412873,0.00000331713,0.00002305742,0.002189946,0.00001769955,0.002154369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9098251,"threshold_uncertainty_score":0.1793001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349653478753403,"score_gpt":0.2372003166382723,"score_spread":0.2237037818507382,"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."}}