{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science"],"category_scores_codex":[0.001588062,0.001425104,0.001618122,0.0002732309,0.001427356,0.001472201,0.02690483,0.0005281324,0.000117709],"category_scores_gemma":[0.0001555717,0.001329462,0.0001221728,0.0001979868,0.0004735785,0.001238428,0.01785757,0.001088386,0.001670426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004671678,"about_ca_system_score_gemma":0.0002406604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01238673,"about_ca_topic_score_gemma":0.09057749,"domain_scores_codex":[0.9918305,0.0005168724,0.001091112,0.004173388,0.0007903355,0.001597851],"domain_scores_gemma":[0.9707159,0.001418154,0.001436041,0.02577101,0.0000687486,0.0005901687],"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":[0.0004636869,0.0001340575,0.000379637,0.001366963,0.0007692127,0.00009592101,0.0001193875,0.0001237621,0.0000464344,7.253101e-7,0.9928344,0.003665849],"study_design_scores_gemma":[0.001211163,0.00006928191,0.002484578,0.001838421,0.001777358,0.00002761531,0.00004422008,0.1340946,9.361156e-7,0.0002528461,0.8568993,0.00129965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001834775,0.005945514,0.000560895,0.0000410779,0.001069196,0.001333628,0.9889323,0.0002194882,0.00006315427],"genre_scores_gemma":[0.0002481796,0.003505551,0.004053682,0.0002493157,0.003891901,0.0001261999,0.9874675,0.0003425905,0.0001150384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1359351,"threshold_uncertainty_score":0.9998726,"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."}}