{"id":"W2800939495","doi":"10.26522/vp.v15i1.1751","title":"Contre l’abject : le détective chez Pan Bouyoucas","year":2018,"lang":"fr","type":"article","venue":"Voix Plurielles","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001506734,0.0004384778,0.000552466,0.001204619,0.02774624,0.00328881,0.0007475936,0.001869806,0.005361493],"category_scores_gemma":[0.002511198,0.000418102,0.0001537218,0.001300447,0.01701046,0.002990523,0.003894377,0.003448861,0.0002638338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01117575,"about_ca_system_score_gemma":0.009781701,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4814628,"about_ca_topic_score_gemma":0.549565,"domain_scores_codex":[0.9986929,0.0004691122,0.00002192122,0.0001696891,0.0001678297,0.0004784713],"domain_scores_gemma":[0.9992641,0.0002532721,0.0001556246,0.00004531653,0.0001156889,0.0001661215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005080671,0.0000181852,0.005484221,0.00007272722,0.000004717839,0.001635756,0.8426271,0.00004008993,0.001074297,0.1304141,0.002254481,0.01632351],"study_design_scores_gemma":[0.00001199114,0.00008481771,0.02067371,0.000328576,0.00002445099,0.002626906,0.6710339,0.000233716,0.0009885089,0.009109272,0.2948005,0.0000836987],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9169112,0.003647318,0.001522605,0.008834131,0.0002983153,0.00005383481,0.00004607722,0.00003311562,0.06865341],"genre_scores_gemma":[0.9893515,0.0007029719,0.0002279442,0.0003023263,0.00001825124,0.00001101616,0.000007326997,0.00001279905,0.00936581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5185372,"threshold_uncertainty_score":0.9573208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177918030935013,"score_gpt":0.2375252079992799,"score_spread":0.2257460276899298,"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."}}