{"id":"W4400330668","doi":"10.1515/9782760643222-001","title":"Introduction","year":2021,"lang":"fr","type":"book-chapter","venue":"Les Presses de l'Université de Montréal eBooks","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Montréal","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002275385,0.0009671937,0.0006675025,0.00205345,0.001470556,0.004957757,0.001999972,0.00202004,0.4379575],"category_scores_gemma":[0.01110824,0.0003769254,0.0007585261,0.003035862,0.0008029324,0.002761102,0.002223361,0.001782867,0.2320704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001951596,"about_ca_system_score_gemma":0.003043309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006717979,"about_ca_topic_score_gemma":0.006144833,"domain_scores_codex":[0.998054,0.0003364781,0.00009355429,0.0005332878,0.0008221202,0.0001605562],"domain_scores_gemma":[0.995746,0.00129189,0.000235003,0.0005970721,0.001853156,0.0002768676],"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":[0.0001604313,0.00007337685,0.003265136,0.0005341424,0.00002287121,0.0002072293,0.0008028696,0.0005272686,0.0006590962,0.09282229,0.5704947,0.3304306],"study_design_scores_gemma":[0.0000115647,0.00002799339,0.002651959,0.0002667189,0.000009616178,0.0001834076,0.0002882335,0.0002477724,0.0002834381,0.01478195,0.9812322,0.0000151354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005774327,0.006401989,0.03407318,0.0125872,0.004506728,0.0005527177,0.02150209,0.002923179,0.9116787],"genre_scores_gemma":[0.04608712,0.006536311,0.02572449,0.004976714,0.001779508,0.0007641061,0.02260539,0.001759397,0.8897669],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5620425,"threshold_uncertainty_score":0.8016854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399314175866008,"score_gpt":0.1857072223005046,"score_spread":0.1717140805418446,"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."}}