{"id":"W2468664070","doi":"","title":"The Chutes and Ladders of Migrant Incorporation: Legal Status Meets Canadian Newcomer Settlement Landscape","year":2016,"lang":"en","type":"article","venue":"Dutch Crossing","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Settlement (finance); Legal status; Political science; Archaeology; Geography; Sociology; Gender studies; Law; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004218749,0.00005692186,0.00006829372,0.00003771732,0.001248799,0.0003802045,0.00007669354,0.00003878704,0.00009930289],"category_scores_gemma":[0.00009679673,0.00003389951,0.0000200949,0.0001335643,0.0004494584,0.0001792105,0.00001187608,0.00003350111,0.000003268684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006342483,"about_ca_system_score_gemma":0.0006764683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1570519,"about_ca_topic_score_gemma":0.9396434,"domain_scores_codex":[0.9992491,0.00006549321,0.0001450254,0.00009943236,0.0001884676,0.0002524684],"domain_scores_gemma":[0.9994885,0.0000982561,0.000077774,0.0000907925,0.00009035371,0.0001543128],"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":[0.00005315003,0.00004040164,0.3539535,0.00002309287,0.00008727985,0.00001292958,0.1702549,0.00004937211,0.003457769,0.2985286,0.02794001,0.1455991],"study_design_scores_gemma":[0.0002510257,0.00001228535,0.01953839,0.00001978154,0.000006151446,4.721111e-7,0.006731741,0.0003009662,0.00005955937,0.0004150928,0.9725806,0.00008397843],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734576,0.0003208933,0.0001140202,0.02101382,0.0002079051,0.0001293406,0.00008529932,0.00001814143,0.004652932],"genre_scores_gemma":[0.9977298,0.0001144409,0.0001561579,0.000190444,0.00006328409,0.000003015339,0.000006072968,0.000004594788,0.001732224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9446406,"threshold_uncertainty_score":0.9604876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270270409700165,"score_gpt":0.2755683046060038,"score_spread":0.2628656005090022,"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."}}