{"id":"W4411016906","doi":"10.61959/jivr4683e","title":"Employment Mobility and Family Gentrification in Montreal","year":2017,"lang":"en","type":"report","venue":"","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gentrification; Sociology; Economic geography; Geography; Economics; Economic growth","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":[0.0005730076,0.0002398153,0.0002238611,0.001630626,0.008690089,0.001823433,0.001362117,0.000407837,0.008403571],"category_scores_gemma":[0.001755884,0.0002020229,0.0003872134,0.00346432,0.001359248,0.000719864,0.002347944,0.0007035694,0.0002816428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05028612,"about_ca_system_score_gemma":0.03684799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961118,"about_ca_topic_score_gemma":0.9984665,"domain_scores_codex":[0.9993494,0.00008071856,0.00001625637,0.00005794887,0.0001341484,0.0003615196],"domain_scores_gemma":[0.9990813,0.00004818311,0.0001327789,0.00002994383,0.0002881226,0.0004197436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001217447,0.0001533822,0.8847889,0.0001002582,0.00008770747,0.001322564,0.03786404,0.0005492246,0.0005579236,0.009315343,0.01997046,0.04516853],"study_design_scores_gemma":[0.000006717026,0.00002134145,0.9514323,0.00008082597,0.00001473541,0.000145497,0.02821765,0.0002177252,0.00009513822,0.0001782255,0.01956138,0.00002835984],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.967165,0.001503283,0.00009532652,0.003100789,0.00004389695,0.00005726329,0.002872152,0.00002538717,0.02513689],"genre_scores_gemma":[0.9888615,0.0008909547,0.0001289942,0.000176956,0.0000132243,0.00002705669,0.0006749677,0.000009254939,0.009217197],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05028612,"threshold_uncertainty_score":0.364853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06119681605368948,"score_gpt":0.356414308091049,"score_spread":0.2952174920373595,"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."}}