{"id":"W7008310481","doi":"","title":"2016 10 13 Caroline Delisle du Challenge Banque National","year":2016,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Government (linguistics); Ideal (ethics)","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":[0.002265204,0.000563656,0.0005085216,0.0007534882,0.006497211,0.008211911,0.001053649,0.007693922,0.2517093],"category_scores_gemma":[0.007533948,0.0003790737,0.0004326567,0.001031206,0.001980386,0.003349468,0.003176715,0.006314945,0.06918357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01396048,"about_ca_system_score_gemma":0.02482448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3809001,"about_ca_topic_score_gemma":0.5703712,"domain_scores_codex":[0.9973041,0.0002987662,0.0000733241,0.0003128386,0.001402361,0.0006085474],"domain_scores_gemma":[0.9959273,0.0004184686,0.00009558483,0.0002212599,0.00185962,0.001477803],"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":[0.000007298059,0.000007958801,0.0001341211,0.00002409381,8.602278e-7,0.00003129926,0.0001262376,0.00002881801,0.00004660455,0.0349498,0.9584419,0.006201073],"study_design_scores_gemma":[0.000001298764,0.000001074842,0.0001385349,0.00003276296,3.870845e-7,0.000008471859,0.00008301628,0.00001464187,0.00002885768,0.0005884488,0.9990993,0.00000334471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009156043,0.003767103,0.000314698,0.1377469,0.00839127,0.00004274795,0.00112413,0.0001231112,0.8475745],"genre_scores_gemma":[0.008391349,0.001504205,0.0002921774,0.01093873,0.0007903074,0.00003131359,0.0003151174,0.0001395709,0.9775972],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3809001,"threshold_uncertainty_score":0.8420515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00756852312201499,"score_gpt":0.2053811301502969,"score_spread":0.1978126070282819,"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."}}