{"id":"W2134001218","doi":"10.7202/019489ar","title":"Conditions de logement des ménages immigrants et dynamiques métropolitaines à Montréal : une analyse multiniveau exploratoire","year":2008,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.000787433,0.0005965611,0.0007440043,0.0007345054,0.003852286,0.0001138195,0.0004725035,0.0004680042,0.0001202578],"category_scores_gemma":[0.0005440978,0.0006236039,0.0006886607,0.003259004,0.01092267,0.0007936388,0.00007437439,0.000550512,0.00005102607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007326592,"about_ca_system_score_gemma":0.0007215768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.404101,"about_ca_topic_score_gemma":0.597602,"domain_scores_codex":[0.9954739,0.001113162,0.0007227645,0.000685658,0.0005950952,0.001409373],"domain_scores_gemma":[0.9972665,0.0006963483,0.0003691443,0.0004420466,0.0005544606,0.0006714584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009636173,0.001043335,0.4058471,0.0001827371,0.001973869,0.000655697,0.4360364,0.0003510886,0.000291104,0.093484,0.05260848,0.007429813],"study_design_scores_gemma":[0.001875526,0.0004222398,0.3541906,0.000413221,0.0009480992,0.00008311993,0.5378621,0.0007109547,0.0002259565,0.02450692,0.07724661,0.001514611],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.879006,0.09750966,0.003883687,0.01137421,0.0006285695,0.0005375012,0.0003899122,0.0003349902,0.006335439],"genre_scores_gemma":[0.8757964,0.1137463,0.001800554,0.001622014,0.0003390452,0.0001751634,0.00008286016,0.00005930597,0.006378427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.193501,"threshold_uncertainty_score":0.9996215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754150297501233,"score_gpt":0.2884325208445024,"score_spread":0.26089101786949,"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."}}