{"id":"W2931468696","doi":"10.71781/5753","title":"Expérimentation d'un enseignement réciproque pour améliorer la formulation d'inférences en compréhension de la lecture d'élèves du 3e cycle du primaire en contexte montréalais","year":2018,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science","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":[0.007271209,0.001608983,0.0009996673,0.0009985628,0.0010221,0.003841527,0.001987099,0.00183674,0.01971252],"category_scores_gemma":[0.04139338,0.0007618557,0.001067169,0.0007110819,0.001543324,0.004625736,0.002411424,0.001968907,0.002741093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001950208,"about_ca_system_score_gemma":0.004016801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01714322,"about_ca_topic_score_gemma":0.01819298,"domain_scores_codex":[0.9939111,0.002963539,0.0004032898,0.001388285,0.001124711,0.0002089205],"domain_scores_gemma":[0.9773451,0.01503523,0.0008126875,0.001976174,0.004336158,0.0004947733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003405668,0.002141195,0.008654473,0.005670335,0.0003000053,0.0008326721,0.0620683,0.02019173,0.288981,0.03762505,0.007659345,0.5624701],"study_design_scores_gemma":[0.001603095,0.008263517,0.03397355,0.001874162,0.001576528,0.00089389,0.03733946,0.2651836,0.3335803,0.0472809,0.2676398,0.0007911198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3773016,0.0008995638,0.5828351,0.001420797,0.0004015731,0.003092089,0.0007022001,0.00697716,0.02636985],"genre_scores_gemma":[0.4738169,0.0005343815,0.5022406,0.0003421726,0.00005279251,0.00169181,0.0007652949,0.0007591869,0.01979689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9828568,"threshold_uncertainty_score":0.06594491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003708398766410521,"score_gpt":0.2174437630731373,"score_spread":0.2137353643067268,"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."}}