{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003068747,0.0003364809,0.0003852614,0.0009107257,0.01190251,0.005386626,0.001169948,0.001451769,0.01245473],"category_scores_gemma":[0.007208194,0.0002636517,0.0002824918,0.001017165,0.003550594,0.002408982,0.003929809,0.0029384,0.001295619],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01697829,"about_ca_system_score_gemma":0.03165843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7212908,"about_ca_topic_score_gemma":0.8891125,"domain_scores_codex":[0.997419,0.0007743302,0.00006537927,0.0002984093,0.000637859,0.0008049027],"domain_scores_gemma":[0.9932784,0.0006984398,0.0007678329,0.0002831965,0.001961815,0.003010307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002544071,0.0003500848,0.2206691,0.0003846954,0.00006720198,0.001229555,0.5922242,0.0001955858,0.003575355,0.02050627,0.02722831,0.1333153],"study_design_scores_gemma":[0.00002924095,0.0001564622,0.3216498,0.0006223454,0.00005503454,0.0002323747,0.4989713,0.0004608214,0.0005735447,0.002158804,0.1749991,0.00009114059],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510973,0.001300351,0.0008082683,0.009016082,0.0002526462,0.00006875786,0.0001630078,0.00003112595,0.03726245],"genre_scores_gemma":[0.9576512,0.0009053011,0.0008939349,0.001980029,0.00003162953,0.00006977905,0.0001564143,0.00002825185,0.0382834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9830217,"threshold_uncertainty_score":0.5607012,"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."}}