{"id":"W2378054988","doi":"","title":"Comparative analysis on constitution between American and Canadian Caucasians and general Chinese people","year":2016,"lang":"en","type":"article","venue":"Zhonghua zhongyiyao zazhi","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Constitution; Traditional medicine; Chinese americans; Medicine; China; Political science; Genealogy; Family medicine; Gerontology; History; Ethnic group; 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":[0.0003319663,0.0001058801,0.0002112129,0.002605246,0.004456661,0.0009357856,0.0002637194,0.0001637166,0.004414919],"category_scores_gemma":[0.001239002,0.00007075671,0.0002131392,0.004185977,0.00141527,0.0002396825,0.0006713495,0.0002940393,0.0001244372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004924276,"about_ca_system_score_gemma":0.006396392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7883314,"about_ca_topic_score_gemma":0.900225,"domain_scores_codex":[0.9995271,0.00005394275,0.00001595427,0.00005787908,0.0001001719,0.0002449391],"domain_scores_gemma":[0.9993136,0.0001089314,0.00007998709,0.00002939697,0.0002469296,0.0002211916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004229665,0.00004369345,0.8394982,0.00007280974,0.00005526899,0.0007124004,0.1084872,0.00006881382,0.003059086,0.01067996,0.001659087,0.03524056],"study_design_scores_gemma":[0.000002883604,0.00002069432,0.963751,0.00001075879,0.00002075298,0.0001120113,0.03276129,0.00003218797,0.0001180434,0.0001572862,0.003006751,0.000006448371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934497,0.0001867084,0.00002526311,0.00007770297,0.000006797035,0.000004194162,0.0000998079,0.000001083442,0.006148855],"genre_scores_gemma":[0.9988387,0.0001159608,0.00002381962,0.00001261741,0.000002786571,0.000001473592,0.00007574879,9.657955e-7,0.0009280294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2116686,"threshold_uncertainty_score":0.4258302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133042251017129,"score_gpt":0.2713228067063207,"score_spread":0.2599923841961494,"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."}}