{"id":"W1178927542","doi":"10.1097/ypg.0000000000000102","title":"Measuring how genetic and epigenetic variants can filter emotion perception","year":2015,"lang":"en","type":"article","venue":"Psychiatric Genetics","topic":"Neuroendocrine regulation and behavior","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation; Institut Universitaire en Santé Mentale de Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Perception; Conceptualization; Cognition; Context (archaeology); Cognitive psychology; Emotion perception; Psychology; Computer science; Cognitive science; Biology; Artificial intelligence; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001081678,0.0002216804,0.0001792905,0.0002159103,0.00009336743,0.00007795478,0.0001492119,0.00008833039,0.0002142068],"category_scores_gemma":[0.00001418168,0.0002249023,0.00005976687,0.0002783879,0.00005127763,0.00003270853,0.0000515737,0.0001437213,0.0001351158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004340183,"about_ca_system_score_gemma":0.00004388208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003653799,"about_ca_topic_score_gemma":0.00003124174,"domain_scores_codex":[0.998394,0.0001858029,0.0002637826,0.000474648,0.0003031101,0.0003786863],"domain_scores_gemma":[0.9990241,0.00001537084,0.000113958,0.0004343184,0.0001144607,0.0002977768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000858866,0.0005489673,0.7279316,0.00005766023,0.00007088137,0.00006146217,0.003600171,0.0002507858,0.004259382,0.0001756551,0.02563873,0.2373188],"study_design_scores_gemma":[0.001250978,0.000256776,0.9904057,0.000004410204,0.0001176346,0.000271085,0.0004870835,0.0003691569,0.00006155919,0.0003067089,0.006199374,0.0002694717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990314,0.001062185,0.002447363,0.002643893,0.002153853,0.0003528612,0.00001256136,0.00008280086,0.0009304527],"genre_scores_gemma":[0.989656,0.00007156146,0.006036873,0.0001893562,0.0005235799,0.00002752704,0.00001276658,0.00004754553,0.003434745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2624741,"threshold_uncertainty_score":0.9171251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07915187586400789,"score_gpt":0.2943272466238701,"score_spread":0.2151753707598622,"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."}}