{"id":"W7069036499","doi":"","title":"Chasseurs chassés","year":2019,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Perspective (graphical); Ectotherm; Context (archaeology); Set (abstract data type)","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":[0.003123804,0.002550262,0.001394728,0.002287704,0.003316231,0.004224455,0.001851859,0.003806143,0.2003255],"category_scores_gemma":[0.007897157,0.0006294522,0.001166867,0.001388172,0.001450316,0.002267573,0.002248917,0.004952204,0.05744957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006702381,"about_ca_system_score_gemma":0.006494639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1067738,"about_ca_topic_score_gemma":0.06920906,"domain_scores_codex":[0.9957523,0.0009398171,0.000158504,0.0008429545,0.001848885,0.0004575011],"domain_scores_gemma":[0.9939182,0.001108496,0.0003931717,0.0003160195,0.002234338,0.00202978],"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":[0.001115845,0.0002153801,0.005292563,0.0008137816,0.0001565324,0.004165324,0.001193944,0.001395256,0.007845015,0.0646598,0.5666743,0.3464723],"study_design_scores_gemma":[0.00004705412,0.00005009826,0.003043805,0.0001053858,0.00001264969,0.001040178,0.000183739,0.0001790008,0.0009555851,0.0007863109,0.9935648,0.00003134456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0292413,0.1763535,0.01492599,0.172225,0.1073073,0.0003994393,0.004213534,0.004434991,0.490899],"genre_scores_gemma":[0.08919489,0.02505604,0.003417906,0.01041486,0.02155126,0.0002436613,0.001035281,0.0005500047,0.8485361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2003255,"threshold_uncertainty_score":0.6701556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006619289212897375,"score_gpt":0.153106356466084,"score_spread":0.1464870672531866,"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."}}