{"id":"W1485165634","doi":"","title":"Migrants from China","year":2000,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Headline; China; Medicine; Political science; Advertising; Business; 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":[0.001071392,0.0009575726,0.000563692,0.0006984147,0.004346053,0.002328466,0.0009363748,0.005227706,0.02400012],"category_scores_gemma":[0.002238261,0.0003107989,0.0006590239,0.001302139,0.0007572778,0.001505993,0.001982286,0.005634963,0.004586458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470633,"about_ca_system_score_gemma":0.005972045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07168883,"about_ca_topic_score_gemma":0.1305778,"domain_scores_codex":[0.9995874,0.00005693325,0.00005139794,0.0000580602,0.00008690944,0.000159438],"domain_scores_gemma":[0.9987535,0.0002383814,0.0001228625,0.00007163668,0.000350264,0.0004632723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000037066,0.00001370616,0.001657439,0.0002289112,0.000008924271,0.0006399275,0.0008194318,0.000009883036,0.0001295799,0.0006411351,0.9778015,0.0180126],"study_design_scores_gemma":[0.00004007526,0.00004801781,0.02247792,0.0004030837,0.00002546673,0.0002883597,0.003196596,0.00003275214,0.0001179835,0.0002747497,0.9730664,0.00002859819],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01235413,0.01513877,0.0001440962,0.7523446,0.1711428,0.0001306381,0.001867079,0.0001764694,0.04670143],"genre_scores_gemma":[0.03609899,0.0352138,0.0003196382,0.6497326,0.07702333,0.0002324342,0.001939341,0.0001350732,0.1993048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07168883,"threshold_uncertainty_score":0.1425431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780389716102769,"score_gpt":0.2572922631071065,"score_spread":0.2394883659460788,"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."}}