{"id":"W2912335446","doi":"10.1101/540419","title":"Hallucinations both in and out of context: An Active Inference Account","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Mental Health and Psychiatry","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Research Council; Rosetrees Trust; Fonds de Recherche du Québec - Santé; National Institute for Health and Care Research; University College London; McGill University","keywords":"Hallucinating; Psychology; Context (archaeology); Inference; Visual Hallucination; Cognitive psychology; Population; Schizophrenia (object-oriented programming); Sensory system; Sentence; Auditory hallucination; Psychosis; Perception; Audiology; Neuroscience; Psychiatry; Medicine; Artificial intelligence; Computer science","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":[0.001862388,0.0005460789,0.0006335005,0.0008205989,0.0009492324,0.002103984,0.002438714,0.001475313,0.005046693],"category_scores_gemma":[0.006728768,0.000611107,0.001499452,0.0004972879,0.001932919,0.004431242,0.001832177,0.001774336,0.0002997195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009486178,"about_ca_system_score_gemma":0.0006215225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003021889,"about_ca_topic_score_gemma":0.001944686,"domain_scores_codex":[0.9991185,0.0003586436,0.00004823584,0.0001469089,0.0002126971,0.0001149463],"domain_scores_gemma":[0.9941193,0.004580505,0.000374992,0.0003915839,0.0003093105,0.0002243258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002376058,0.0000984328,0.003065591,0.0002022485,0.0002042606,0.001252944,0.001325515,0.141243,0.002723652,0.8170133,0.001406395,0.03122713],"study_design_scores_gemma":[0.0000255332,0.00002149125,0.0005528207,0.00002123081,0.0000477848,0.0001644243,0.00006229983,0.5094512,0.0004276363,0.4885449,0.0006601459,0.00002057007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1462089,0.001105992,0.8094919,0.005338368,0.000164054,0.00008977458,0.0004293884,0.0003089847,0.0368626],"genre_scores_gemma":[0.9752993,0.0002949406,0.02214872,0.0001709341,0.0001234596,0.00004112878,0.0001069385,0.00003149383,0.001783053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005046693,"threshold_uncertainty_score":0.0168829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03538813705816281,"score_gpt":0.2699623216946406,"score_spread":0.2345741846364778,"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."}}