{"id":"W4396756328","doi":"10.1515/9782760550766-002","title":"Remerciements","year":2019,"lang":"fr","type":"book-chapter","venue":"Presses de l'Université du Québec eBooks","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.005780701,0.001393126,0.0009051507,0.003005994,0.008256044,0.006987961,0.002354698,0.002655772,0.09029776],"category_scores_gemma":[0.02873272,0.0005412561,0.0005229964,0.0032716,0.00461471,0.007265821,0.005123668,0.007597269,0.03763479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01883187,"about_ca_system_score_gemma":0.02337318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.21868,"about_ca_topic_score_gemma":0.428938,"domain_scores_codex":[0.9920551,0.001588277,0.0002754901,0.001121148,0.004330959,0.0006290709],"domain_scores_gemma":[0.9784101,0.003098782,0.001127861,0.00137867,0.01304633,0.00293819],"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":[0.0000283979,0.00001491784,0.0004021481,0.0001506062,0.000006272673,0.0003470522,0.006210737,0.00007942809,0.0003675493,0.04420837,0.9160944,0.0320902],"study_design_scores_gemma":[0.00000105268,0.000002836717,0.0002895396,0.00006326621,0.000001780666,0.00009476293,0.0007129749,0.00002299463,0.00006621736,0.0008407646,0.997895,0.000008892451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.006746688,0.03891993,0.00920274,0.4470479,0.0566419,0.0003058873,0.003596552,0.00107946,0.436459],"genre_scores_gemma":[0.01789459,0.005834342,0.002371931,0.01355262,0.001926722,0.0001059151,0.0003666222,0.000386648,0.9575606],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9097022,"threshold_uncertainty_score":0.4348143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010125530779975,"score_gpt":0.2197084923556316,"score_spread":0.1996072370478319,"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."}}