{"id":"W2784138807","doi":"10.1098/rsbl.2017.0694","title":"A genetic locus for paranoia","year":2018,"lang":"en","type":"article","venue":"Biology Letters","topic":"Genetic Syndromes and Imprinting","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Paranoia; Biology; Autism; Locus (genetics); Genetics; Single-nucleotide polymorphism; Psychosis; Phenotype; Autism spectrum disorder; Genomic imprinting; Gene; Population; Genotype; Psychology; Developmental psychology; Gene expression; Psychiatry; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003098666,0.0005059044,0.0002266221,0.0007884387,0.0004630851,0.0003391209,0.0003104678,0.0005879063,0.003155652],"category_scores_gemma":[0.001277053,0.0001691712,0.0003562475,0.0005346151,0.0006597863,0.0001677965,0.000764868,0.0005385217,0.0001637455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002307123,"about_ca_system_score_gemma":0.0003564611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001354481,"about_ca_topic_score_gemma":0.001139041,"domain_scores_codex":[0.9996715,0.00009806295,0.00002222376,0.00008870306,0.00008644217,0.00003326029],"domain_scores_gemma":[0.9993174,0.0002722152,0.0002027961,0.00005191147,0.00003393384,0.0001217459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002389661,0.0003373392,0.4259706,0.0002927814,0.0005803685,0.05594966,0.003481037,0.0008974572,0.4489633,0.01406972,0.001800468,0.04526769],"study_design_scores_gemma":[0.0001530323,0.0006147729,0.8855379,0.0001568007,0.0004101925,0.08170204,0.0008624102,0.003514051,0.0158254,0.006704244,0.004425348,0.00009374475],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968413,0.000225007,0.001040282,0.000328689,0.00001381745,0.00001234089,0.0001491271,0.00004173132,0.00134781],"genre_scores_gemma":[0.9981811,0.0001572435,0.001122815,0.00005450751,0.00001344002,0.000007409575,0.00009621261,0.000008411504,0.0003588253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003155652,"threshold_uncertainty_score":0.0105567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029054197772616,"score_gpt":0.2522138954187322,"score_spread":0.241923353441006,"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."}}