{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003698124,0.00004740055,0.00006825,0.0001098486,0.0004160693,0.00002883367,0.00004044856,0.00004107492,0.00007061716],"category_scores_gemma":[0.0004893234,0.00005169301,0.000008132542,0.0001922756,0.0001803529,0.000122248,0.00001138794,0.00003230586,0.000006182235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003254774,"about_ca_system_score_gemma":0.0000657704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6658128,"about_ca_topic_score_gemma":0.9995218,"domain_scores_codex":[0.9994184,0.00008036623,0.0001242868,0.0001198159,0.0001011809,0.0001559096],"domain_scores_gemma":[0.999671,0.00003814733,0.00003178022,0.00006103943,0.0001106191,0.00008736751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001039859,0.000004717883,0.9252222,0.000004883157,0.000006388407,5.186674e-7,0.05951076,0.000004833312,0.000001636386,0.007528228,0.0007569637,0.006957815],"study_design_scores_gemma":[0.00006566689,0.00001474969,0.9647827,0.00003319466,0.000004971054,1.241683e-7,0.01367154,0.001245657,5.268813e-7,0.0016999,0.01839152,0.0000894785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947475,0.0001620399,0.00004934794,0.0009571187,0.0004480566,0.0001687852,0.000005148948,0.00001482812,0.003447141],"genre_scores_gemma":[0.9988627,0.0001452191,0.00007936161,0.0002453849,0.0002309869,0.00000957766,0.000006956744,0.000003257609,0.0004165811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3337089,"threshold_uncertainty_score":0.3364125,"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."}}