{"id":"W2811133535","doi":"10.15173/ijrr.v1i2.3492","title":"Neurocognitive predictors of confabulation in Schizophrenia","year":2018,"lang":"en","type":"article","venue":"International Journal of Risk and Recovery","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Confabulation (neural networks); Psychology; Neurocognitive; Schizophrenia (object-oriented programming); PsycINFO; Clinical psychology; Neuropsychology; Psychiatry; Cognition; MEDLINE","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":[0.005055284,0.0003078563,0.0006308119,0.004804326,0.0004277609,0.001240831,0.0004830606,0.0004592096,0.001208184],"category_scores_gemma":[0.04623293,0.0002488875,0.0009102602,0.003793086,0.0007525636,0.00139256,0.001099061,0.000703676,0.00007593894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005613766,"about_ca_system_score_gemma":0.001130978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003012358,"about_ca_topic_score_gemma":0.004584292,"domain_scores_codex":[0.9968038,0.001151914,0.001017395,0.0002059169,0.00071247,0.0001085167],"domain_scores_gemma":[0.9416957,0.03014136,0.02378652,0.0009449325,0.002794191,0.0006372141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007464656,0.0000549498,0.9564635,0.004420563,0.001024373,0.000447233,0.001719264,0.000212903,0.000258618,0.0001966494,0.0002270926,0.03422826],"study_design_scores_gemma":[0.00001415888,0.000137083,0.9940497,0.001701558,0.0005075329,0.001068107,0.001252823,0.0001769172,0.0001520809,0.0003668312,0.0005516525,0.00002170631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9380651,0.05948137,0.000244184,0.0004253717,0.0000399747,0.00005045282,0.0005076778,0.000004091883,0.001181922],"genre_scores_gemma":[0.9888369,0.01048244,0.0002270561,0.00004942672,0.00003738575,0.00002091925,0.0002987655,0.000001888801,0.00004517882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005055284,"threshold_uncertainty_score":0.02673519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007752347538348,"score_gpt":0.2862842834230607,"score_spread":0.2762067599476772,"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."}}