{"id":"W6892297501","doi":"10.5061/dryad.7g5s4","title":"Data from: A genetic locus for paranoia","year":2017,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Simon Fraser University","funders":"","keywords":"Paranoia; Psychosis; Locus (genetics); Population; Genetic data; Genetic variants; Schizophrenia (object-oriented programming); Genotyping","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094466,0.001228816,0.001393216,0.002139638,0.0007023448,0.001931775,0.002192999,0.001552809,0.07895473],"category_scores_gemma":[0.007656076,0.0003914353,0.001136398,0.004430003,0.0003544992,0.0007295312,0.001525542,0.001245482,0.02739193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336737,"about_ca_system_score_gemma":0.003194137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0340388,"about_ca_topic_score_gemma":0.0483548,"domain_scores_codex":[0.9991573,0.0001482619,0.0001631895,0.0002369616,0.0001605964,0.000133779],"domain_scores_gemma":[0.9976787,0.0008977668,0.0003823435,0.0003401697,0.0004601653,0.0002408255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004746263,0.00002921579,0.007254145,0.003468563,0.0002403768,0.0001443374,0.00008789937,0.0004218957,0.000320734,0.001010767,0.9823137,0.004233724],"study_design_scores_gemma":[0.001969103,0.00004670003,0.03295617,0.001643555,0.0004041328,0.0003345546,0.0002297486,0.0007495157,0.0008984072,0.003114595,0.9575686,0.00008478652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003047269,0.0001070688,0.00004025667,0.00009296572,0.0000154057,0.00001051938,0.998997,0.00007721578,0.0003548852],"genre_scores_gemma":[0.002362532,0.0001800055,0.0002427555,0.0001023385,0.00001238429,0.0001489067,0.9961786,0.00006835868,0.0007040937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07895473,"threshold_uncertainty_score":0.2641299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07750945895636364,"score_gpt":0.3437557014379318,"score_spread":0.2662462424815681,"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."}}