{"id":"W7035770051","doi":"","title":"Ajustement d’enseignantes et d’enseignants immigrants aux conventions professionnelles de l’École québécoise au cœur de l’accompagnement offert par des conseillères pédagogiques","year":2022,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Context (archaeology); Citizenship; Naturalization","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001028225,0.0008954548,0.0007723462,0.0005856906,0.02146818,0.0002795239,0.001670015,0.0004761477,0.000244996],"category_scores_gemma":[0.0002320666,0.001034681,0.0006048307,0.0007346299,0.0007159157,0.0006834973,0.0008846438,0.001219523,0.00006793832],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0108356,"about_ca_system_score_gemma":0.01435831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5180637,"about_ca_topic_score_gemma":0.1456438,"domain_scores_codex":[0.9936529,0.001506608,0.001020917,0.001386458,0.00114583,0.001287233],"domain_scores_gemma":[0.9959798,0.0005667618,0.001026164,0.001014652,0.0006741947,0.000738353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0008977802,0.003285334,0.2536169,0.001189202,0.001150733,0.00250092,0.4144379,0.03993716,0.0343851,0.2366224,0.001471487,0.01050513],"study_design_scores_gemma":[0.002393215,0.0004629352,0.7365384,0.001789425,0.0006502485,0.001166155,0.1412218,0.08329623,0.007301184,0.003313971,0.02030837,0.00155812],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619652,0.01091853,0.01283584,0.003621468,0.001043585,0.001586945,0.0002551788,0.0004288563,0.007344405],"genre_scores_gemma":[0.9617395,0.001022773,0.008571387,0.0006392339,0.0001250065,0.0006822583,0.0006003768,0.00007497171,0.0265445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4829215,"threshold_uncertainty_score":0.9992104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024180966969574,"score_gpt":0.2471666545611362,"score_spread":0.2269248448914405,"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."}}