{"id":"W2800641850","doi":"10.25336/csp29399","title":"Spatial Mobility, Migration, and Living Arrangements","year":2018,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Sociology; Regional science; Economic geography; Demographic economics; Geography; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006200475,0.001608226,0.001300084,0.002139045,0.001103733,0.002384827,0.0008940742,0.0005562736,0.01699538],"category_scores_gemma":[0.001620738,0.000648542,0.0004985599,0.005585932,0.003145338,0.001293974,0.001101889,0.001282017,0.002145952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007004071,"about_ca_system_score_gemma":0.009282066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5277653,"about_ca_topic_score_gemma":0.5916647,"domain_scores_codex":[0.9997558,0.00006656087,0.00001030926,0.00004383783,0.00008550213,0.00003792141],"domain_scores_gemma":[0.9995196,0.0001556426,0.00004904242,0.00003929584,0.0001701096,0.00006627781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006099264,0.00006329187,0.004111238,0.001287347,0.00009946047,0.0002216836,0.003349184,0.004354943,0.0005049767,0.1373674,0.6631452,0.1854344],"study_design_scores_gemma":[0.00001537019,0.00003773065,0.02798955,0.001753723,0.00007020622,0.0003513717,0.002982493,0.001199634,0.000130623,0.06154757,0.9038762,0.00004548851],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005426032,0.8922511,0.00280129,0.01730903,0.005558346,0.00003913761,0.003080114,0.0000813957,0.07345353],"genre_scores_gemma":[0.1231743,0.7620775,0.004936275,0.001039829,0.004319299,0.00006589798,0.001871306,0.00011892,0.1023967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4722347,"threshold_uncertainty_score":0.9500316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04172445064513811,"score_gpt":0.3468803703158913,"score_spread":0.3051559196707532,"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."}}