{"id":"W2346289171","doi":"","title":"Assessing Economic Mobility: Migrant Communities and First Nations","year":2015,"lang":"en","type":"article","venue":"27th Annual Meeting","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Economic growth; Development economics; Geography; Business; Economics","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":[0.005493733,0.0007824412,0.0006691783,0.003097565,0.001917061,0.002585204,0.0009272736,0.001034137,0.001892452],"category_scores_gemma":[0.01676131,0.0003834515,0.001297566,0.002615191,0.0007754748,0.002206763,0.003925692,0.001245498,0.0002313582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009626866,"about_ca_system_score_gemma":0.002231688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04748996,"about_ca_topic_score_gemma":0.07723643,"domain_scores_codex":[0.9980009,0.001326117,0.000137315,0.0001222163,0.0001869644,0.0002264435],"domain_scores_gemma":[0.99552,0.001693738,0.001028193,0.0001700272,0.0005578061,0.00103023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004294547,0.00007465063,0.9916823,0.00002017316,0.0001108845,0.00003761381,0.00102764,0.0003371277,0.00002474526,0.0002012611,0.000179929,0.006260605],"study_design_scores_gemma":[0.00001368413,0.0003514194,0.9591126,0.0001945368,0.0002325542,0.0001793386,0.03083433,0.00645898,0.0001625549,0.001365313,0.001064753,0.00002991087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978737,0.0002782624,0.0004723194,0.0002875045,0.00001988074,0.00002560044,0.0002495722,0.000004184446,0.0007890739],"genre_scores_gemma":[0.9981457,0.0002447901,0.0009111098,0.00001983491,0.00001290578,0.00006954496,0.0002884233,0.000002554814,0.0003051842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04748996,"threshold_uncertainty_score":0.09442711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05813003926875181,"score_gpt":0.3264982368911747,"score_spread":0.2683681976224229,"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."}}