{"id":"W1655145878","doi":"","title":"Apprivoiser la reconnaissance vocale et en tirer profit avec les élèves en difficulté","year":2014,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003159594,0.00155862,0.0006404775,0.0009363684,0.001617474,0.004252391,0.001076723,0.003021423,0.02311803],"category_scores_gemma":[0.009222523,0.0003742784,0.000880155,0.000416376,0.0009299,0.002245351,0.002009709,0.002125796,0.008347995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008783143,"about_ca_system_score_gemma":0.001968423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007521736,"about_ca_topic_score_gemma":0.01432454,"domain_scores_codex":[0.9974865,0.001266703,0.00006047522,0.0003990295,0.0004844049,0.000302833],"domain_scores_gemma":[0.9965155,0.001880251,0.0002020695,0.0003752002,0.0007360597,0.0002908521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006860967,0.00100816,0.01778031,0.0004911914,0.0001724184,0.000990237,0.01077204,0.009593273,0.06683961,0.00962069,0.0260485,0.8559974],"study_design_scores_gemma":[0.000475409,0.003127495,0.07627328,0.001046475,0.0008210291,0.005355104,0.03755448,0.2983943,0.1179269,0.03864606,0.4198307,0.0005489042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.345485,0.001657681,0.5514998,0.009441939,0.00145869,0.0006118012,0.0004755438,0.008032448,0.08133703],"genre_scores_gemma":[0.6431075,0.0007678958,0.2255572,0.001473777,0.0005297961,0.0003670807,0.0005019236,0.001105965,0.1265888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02311803,"threshold_uncertainty_score":0.0773375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009144812918046209,"score_gpt":0.2246307960368743,"score_spread":0.2154859831188281,"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."}}