{"id":"W2563660041","doi":"10.7202/1038047ar","title":"Le programme d’aide pour la chasse, la pêche et le piégeage","year":2016,"lang":"fr","type":"article","venue":"Recherches amérindiennes au Québec","topic":"African Studies and Ethnography","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001034513,0.0003346564,0.0002304074,0.0006749514,0.005564329,0.001703657,0.0006044002,0.000694891,0.01700313],"category_scores_gemma":[0.001938525,0.0001861746,0.0001485422,0.001260557,0.002766326,0.001015335,0.002777232,0.001163869,0.001337455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008130629,"about_ca_system_score_gemma":0.02189596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2516903,"about_ca_topic_score_gemma":0.4728447,"domain_scores_codex":[0.9991475,0.0002250108,0.00001758991,0.00006839439,0.0001164269,0.0004250069],"domain_scores_gemma":[0.9988704,0.0002391695,0.00008902999,0.00006649812,0.0001836261,0.0005511679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003671215,0.0005435436,0.09332275,0.001173541,0.00007159058,0.001729097,0.1413142,0.00156968,0.009154209,0.1818667,0.02320839,0.5456792],"study_design_scores_gemma":[0.00006006142,0.0004040657,0.2194996,0.0007001606,0.00004124585,0.0004269658,0.06674066,0.0005268182,0.001409527,0.006035257,0.7040964,0.00005913572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5766304,0.002574594,0.005360891,0.01343325,0.0002983717,0.0005403265,0.0003147982,0.00007537478,0.400772],"genre_scores_gemma":[0.8752509,0.001938847,0.003559826,0.0007107095,0.00004548274,0.0003598645,0.0001233726,0.0000282107,0.1179828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2516903,"threshold_uncertainty_score":0.5004506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1337170012948563,"score_gpt":0.3339154844322168,"score_spread":0.2001984831373605,"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."}}