{"id":"W4286771379","doi":"10.51657/ric.v6i1.51438","title":"M-XITÉ: MaXimiser l’agentIvité de l’élève et des adulTes qui l’accompagnent pendant le processus NumÉr-actif d’un plan d’intervention.","year":2022,"lang":"fr","type":"article","venue":"Revue internationale du CRIRES innover dans la tradition de Vygotsky","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007215681,0.0004869887,0.0003560788,0.000946378,0.001407054,0.003063555,0.001114881,0.001303138,0.009889361],"category_scores_gemma":[0.01013867,0.000247414,0.0005429984,0.0004646617,0.002157238,0.002660275,0.007148286,0.001634869,0.00220813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732632,"about_ca_system_score_gemma":0.005302473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002310185,"about_ca_topic_score_gemma":0.004209377,"domain_scores_codex":[0.9955441,0.002750601,0.0001656352,0.0003817487,0.0007629323,0.0003949265],"domain_scores_gemma":[0.9968876,0.001272569,0.0004733581,0.0002626246,0.000284241,0.0008195994],"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":[0.0004042592,0.00157222,0.03410982,0.0020153,0.0001006861,0.0004362093,0.04801322,0.001284694,0.008032791,0.08098106,0.02181876,0.8012311],"study_design_scores_gemma":[0.0004412732,0.00485305,0.136558,0.005556302,0.000257241,0.002404889,0.0506703,0.00543056,0.01583544,0.0557753,0.7219978,0.0002198304],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4413415,0.008373157,0.1450837,0.02366819,0.0007406825,0.002636509,0.0004977181,0.00141703,0.3762415],"genre_scores_gemma":[0.8388597,0.003633875,0.114754,0.001523532,0.0001316978,0.001989751,0.0002474709,0.0001181322,0.03874189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009889361,"threshold_uncertainty_score":0.03816062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226195056823723,"score_gpt":0.3599183122988415,"score_spread":0.2372988066164692,"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."}}