{"id":"W1483729298","doi":"10.21083/synergies.v0i2.1213","title":"<i>La Grande Séduction</i> pour le français parlé québécois : comment ne pas manquer le bateau","year":2010,"lang":"fr","type":"article","venue":"Synergies Canada","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001858797,0.000543752,0.00064425,0.0001370742,0.001746047,0.0002296166,0.0009383274,0.0005111245,0.00232164],"category_scores_gemma":[0.001001394,0.0005895744,0.0002417113,0.0007796064,0.001401454,0.0004336786,0.0001923673,0.001156839,0.00007344555],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005687144,"about_ca_system_score_gemma":0.008551855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995308,"about_ca_topic_score_gemma":0.9989948,"domain_scores_codex":[0.9943724,0.001792823,0.0006304478,0.0007662445,0.001124056,0.001314054],"domain_scores_gemma":[0.9968135,0.001134673,0.0003331277,0.0008529405,0.000240501,0.0006252349],"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":[0.00002594978,0.0002656191,0.0007614695,0.0001346364,0.0003072504,0.0003964601,0.02378297,0.001428775,0.02510536,0.2257752,0.5795063,0.1425099],"study_design_scores_gemma":[0.0006732548,0.00003984387,0.004072039,0.00006661488,0.00008410958,0.00003411949,0.006482049,0.0002028373,0.001579085,0.001296094,0.984775,0.0006949426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4878058,0.02151047,0.001529683,0.2428288,0.02211114,0.0007171604,0.0001334962,0.000363975,0.2229995],"genre_scores_gemma":[0.8709438,0.0003995702,0.01060299,0.002875201,0.001763787,0.00008711864,0.00003759288,0.0001043622,0.1131855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4052687,"threshold_uncertainty_score":0.9996555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041540808211248,"score_gpt":0.2398255537215505,"score_spread":0.2294101456394381,"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."}}