{"id":"W7011048247","doi":"","title":"2017 12 27 La revue de l'année du Canadien et de la ligue national avec Marc Fortier","year":2017,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"National state; State (computer science); Gender relations","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001416466,0.000566509,0.0004170688,0.00209388,0.001789035,0.003400475,0.0008396528,0.002131001,0.3787943],"category_scores_gemma":[0.004902976,0.0002609163,0.0004025921,0.002381169,0.001002758,0.001519031,0.002743753,0.003073948,0.1740302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003265755,"about_ca_system_score_gemma":0.009657047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09939457,"about_ca_topic_score_gemma":0.1438045,"domain_scores_codex":[0.9987499,0.0001277693,0.00005488429,0.0001076324,0.0006645412,0.0002952452],"domain_scores_gemma":[0.9979731,0.0002881865,0.0001371709,0.0001174137,0.0007584055,0.0007256957],"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":[0.00002693827,0.00001480003,0.0004318813,0.0001595007,0.000002023114,0.00009520481,0.0001984458,0.00002777555,0.0001733368,0.01033116,0.9423271,0.0462117],"study_design_scores_gemma":[9.089837e-7,0.000001621089,0.0004069125,0.00005842833,4.015747e-7,0.00001170562,0.00003789114,0.000002278628,0.00002114532,0.00009032829,0.9993666,0.000001773536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001400796,0.02411073,0.0003907074,0.03671671,0.01806034,0.0001060504,0.006303362,0.0005617726,0.9123495],"genre_scores_gemma":[0.003944614,0.007789857,0.0002735725,0.002428611,0.001591002,0.00005104936,0.001403184,0.0002765572,0.9822416],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9006054,"threshold_uncertainty_score":0.8860745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006858332934101332,"score_gpt":0.2108404646202466,"score_spread":0.2039821316861453,"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."}}