{"id":"W2133460611","doi":"10.1159/000112950","title":"Possible Relationship between the COMT Gene Vel&lt;sup&gt;158&lt;/sup&gt;Met Polymorphism and Psychometric IQ in Girls of the Qinba Region in China","year":2007,"lang":"en","type":"article","venue":"Neuropsychobiology","topic":"Cognitive Abilities and Testing","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Psychology; Polymorphism (computer science); Genetics; Gene; Genotype; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001550325,0.0003329442,0.0005159777,0.0008060937,0.0001938269,0.00002160975,0.0005889951,0.0003577753,0.0001172521],"category_scores_gemma":[0.001285288,0.0002360883,0.0001357361,0.002634823,0.0006347642,0.00008049022,0.0001702298,0.0009315382,0.00003614953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005379558,"about_ca_system_score_gemma":0.0000375052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003794285,"about_ca_topic_score_gemma":0.0002139441,"domain_scores_codex":[0.9961304,0.001206565,0.0009653122,0.0007665826,0.0001769381,0.0007541678],"domain_scores_gemma":[0.9944267,0.004119172,0.0003882995,0.0008877363,0.0000818391,0.00009624102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001878723,0.000168154,0.9795272,0.00001425899,0.00002434248,0.00002071146,0.001407609,0.000006210696,0.0008945385,0.003372364,0.0006064104,0.01377028],"study_design_scores_gemma":[0.001862201,0.0004279737,0.9914581,0.00004647603,0.00002979244,0.000179812,0.0001740335,0.00001665362,0.0000537893,0.003696319,0.001831635,0.0002232728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796133,0.001351084,0.0001172755,0.001667506,0.0007597335,0.0007285746,0.0000423282,0.00004254839,0.01567763],"genre_scores_gemma":[0.9982123,0.00005181269,0.00009077317,0.0006668062,0.0002731614,0.0000301663,0.000019768,0.00004809777,0.0006070531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01859905,"threshold_uncertainty_score":0.9627402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05490998004274927,"score_gpt":0.3078704952921911,"score_spread":0.2529605152494419,"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."}}