{"id":"W7095266740","doi":"","title":"RESEARCH ARTICLE A comparison of Chinese","year":2016,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Incidence (geometry); China; Research methodology; Research article","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":[0.0007807155,0.0003675165,0.0003936636,0.001151175,0.001467169,0.0009986354,0.0005314993,0.0004188847,0.01069746],"category_scores_gemma":[0.002128381,0.0001044561,0.0005204774,0.002034611,0.0005208612,0.0005106121,0.000517653,0.0003527025,0.000703832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002354976,"about_ca_system_score_gemma":0.004330309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3072046,"about_ca_topic_score_gemma":0.3855723,"domain_scores_codex":[0.9994395,0.00004440368,0.00005241462,0.0001213807,0.0002173531,0.0001249125],"domain_scores_gemma":[0.9991177,0.0001356195,0.0001422456,0.00005619066,0.000369179,0.0001790647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004317988,0.0008738522,0.8897239,0.000702445,0.0007332763,0.001367879,0.009008557,0.0001027855,0.004572526,0.002886205,0.008242619,0.07746792],"study_design_scores_gemma":[0.0001085109,0.0005706389,0.9828949,0.00009064181,0.0003797131,0.00051778,0.003598938,0.00007643047,0.0005062392,0.0002245757,0.01100721,0.00002446194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772415,0.001948933,0.0001954886,0.0006045047,0.0001152279,0.00009353473,0.002169141,0.00000652396,0.01762508],"genre_scores_gemma":[0.9905826,0.001000266,0.000171315,0.0005710534,0.00007939008,0.00007784318,0.001260356,0.00001024876,0.006247025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3072046,"threshold_uncertainty_score":0.6108329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08528640470248663,"score_gpt":0.4394656493564626,"score_spread":0.354179244653976,"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."}}