{"id":"W3029230656","doi":"10.4000/studifrancesi.9705","title":"Denis Thériault, Le facteur émotif, Montréal","year":2007,"lang":"fr","type":"article","venue":"Studi Francesi","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Motif (music); Art; Aesthetics","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":[0.0009825082,0.0005953966,0.0003692693,0.0008360191,0.00889241,0.005251655,0.0009184316,0.002918778,0.02627296],"category_scores_gemma":[0.003379875,0.0003738215,0.0002243372,0.001112885,0.008811791,0.004366555,0.002142863,0.003764737,0.004636253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01525888,"about_ca_system_score_gemma":0.007438955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.449789,"about_ca_topic_score_gemma":0.6522714,"domain_scores_codex":[0.9987556,0.0004050549,0.00002151235,0.0002453858,0.0003729488,0.0001995425],"domain_scores_gemma":[0.9990057,0.0003889546,0.00008178122,0.00006831532,0.0002906339,0.0001645643],"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":[0.00004263339,0.00001383225,0.001610244,0.000102533,0.00001563754,0.0003566244,0.03180914,0.00008085653,0.000461744,0.3392365,0.593233,0.03303719],"study_design_scores_gemma":[0.000002943649,0.000003490426,0.001259348,0.00007758512,0.000004221826,0.00009836518,0.00496703,0.0000470938,0.0002298913,0.008035908,0.9852566,0.00001759916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01448604,0.06003396,0.005648603,0.4048187,0.007883791,0.00004928889,0.0007841039,0.0004735239,0.5058221],"genre_scores_gemma":[0.2015844,0.01733695,0.002031916,0.05426257,0.001418808,0.00007185662,0.0002138053,0.0005551259,0.7225245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.449789,"threshold_uncertainty_score":0.8943418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844248341258395,"score_gpt":0.2574492169924594,"score_spread":0.2390067335798754,"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."}}