{"id":"W2601578252","doi":"","title":"Évaluez l'intérêt de vos étudiants en français !","year":2017,"lang":"fr","type":"article","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"INT; Computer science; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003024054,0.0005765981,0.0005918697,0.0005472585,0.002234342,0.001331614,0.002637007,0.0002715118,0.01279359],"category_scores_gemma":[0.02899232,0.0006298979,0.0004782247,0.0006370408,0.002376951,0.001950949,0.0008700466,0.0009799913,0.001805815],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007101906,"about_ca_system_score_gemma":0.05156994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6803787,"about_ca_topic_score_gemma":0.9715198,"domain_scores_codex":[0.9932541,0.002204141,0.0006912507,0.0008836624,0.001890971,0.001075904],"domain_scores_gemma":[0.9813972,0.01601651,0.0008862348,0.001023022,0.0001015607,0.000575436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001288278,0.0007888614,0.632512,0.000236575,0.000549242,0.0002170355,0.09074589,0.000383981,0.001546649,0.08292252,0.1495941,0.04037441],"study_design_scores_gemma":[0.0008137003,0.00009471427,0.5127921,0.0002507583,0.0001003925,0.00002720334,0.0007269557,0.000909471,0.0003409857,0.001434984,0.4819688,0.0005399557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5050933,0.02681713,0.00301838,0.1104524,0.00114457,0.0005382623,0.0001634764,0.0001896157,0.3525829],"genre_scores_gemma":[0.7906286,0.00300495,0.01222445,0.001723689,0.001786581,0.0001115791,0.000005448564,0.0001070957,0.1904076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3323748,"threshold_uncertainty_score":0.9997051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734723313005212,"score_gpt":0.2872066918414929,"score_spread":0.2698594587114408,"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."}}