{"id":"W2740981025","doi":"","title":"Immigrants Earning in Canada: Age at Immigration and Acculturation","year":2014,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Acculturation; Demographic economics; Political science; Sociology; Economics; Law","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":[0.0005905458,0.0002742457,0.0003224599,0.001460978,0.002047145,0.001169969,0.0008203576,0.0002956108,0.003228805],"category_scores_gemma":[0.002261435,0.0001240174,0.0005048552,0.002932328,0.0005071051,0.0003339269,0.0006917547,0.0006096689,0.0003194015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008394973,"about_ca_system_score_gemma":0.01211157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887344,"about_ca_topic_score_gemma":0.9931553,"domain_scores_codex":[0.999513,0.00004630544,0.00002077453,0.00005520666,0.0001527114,0.0002120225],"domain_scores_gemma":[0.9980344,0.0002086658,0.0004930731,0.00006047267,0.0006684519,0.0005350526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003067346,0.0000186913,0.9944442,0.00001114863,0.00002797915,0.00005192861,0.0006517572,0.0001538744,0.00003550909,0.0001785999,0.0008704629,0.003525163],"study_design_scores_gemma":[0.000002187396,0.00001114869,0.9963334,0.00002322294,0.00001318608,0.00002416767,0.001621314,0.0002528783,0.00003736595,0.00002322987,0.001652283,0.000005665228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928859,0.0005345355,0.00007251475,0.0002386966,0.00001471307,0.00001576489,0.002578416,0.00000881384,0.003650773],"genre_scores_gemma":[0.9949344,0.0004400158,0.0001086303,0.00004741057,0.000005933456,0.000007516229,0.002066456,0.00000463065,0.002385058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01126558,"threshold_uncertainty_score":0.06091005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03100307490806811,"score_gpt":0.2895806807408097,"score_spread":0.2585776058327416,"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."}}