{"id":"W7057710885","doi":"","title":"Linguistic and Sociolinguistic Factors of Integration within a Multilingual Context (the case of immigrants in Montreal)","year":2009,"lang":"fr","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Immigration; Identity (music); Sociolinguistics; Field (mathematics)","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":[0.001101035,0.0003456784,0.0002829741,0.001470595,0.007241494,0.003190614,0.0007871478,0.0005006897,0.005143682],"category_scores_gemma":[0.003545292,0.0001727971,0.0002538418,0.002577395,0.003261555,0.0008927879,0.002685419,0.0006712043,0.0002061528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01544091,"about_ca_system_score_gemma":0.0127215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9648433,"about_ca_topic_score_gemma":0.9821305,"domain_scores_codex":[0.9991836,0.0002041108,0.00002130137,0.0001004187,0.0001256667,0.0003649358],"domain_scores_gemma":[0.998655,0.0002395264,0.00030324,0.00005487876,0.0003819,0.0003655109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001715272,0.0001199477,0.443675,0.00009462329,0.00005553753,0.002269247,0.5173579,0.0002452359,0.002812074,0.00480219,0.001486203,0.02691062],"study_design_scores_gemma":[0.000004712242,0.00005805631,0.6165458,0.00005386569,0.00002856456,0.0001568682,0.3751937,0.0001318607,0.0002216834,0.0001879809,0.007380944,0.0000359574],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956697,0.0001625149,0.0000456488,0.000297679,0.00000527267,0.00001093306,0.00005499564,0.000002157228,0.003751121],"genre_scores_gemma":[0.9978265,0.000143906,0.00005205517,0.00004025148,0.000002927384,0.000008258945,0.00003090005,0.00000242327,0.001892709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03515673,"threshold_uncertainty_score":0.1120322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683393740836928,"score_gpt":0.289572979693134,"score_spread":0.2727390422847647,"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."}}