{"id":"W4391116798","doi":"10.1016/j.psychres.2024.115752","title":"Navigating the semantic space: Unraveling the structure of meaning in psychosis using different computational language models","year":2024,"lang":"en","type":"article","venue":"Psychiatry Research","topic":"Mental Health and Psychiatry","field":"Arts and Humanities","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute; Western University","funders":"","keywords":"Meaning (existential); Psychosis; Space (punctuation); Linguistics; Psychology; Computer science; Natural language processing; Cognitive science; Artificial intelligence; Psychotherapist; Psychiatry; Philosophy","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":[0.00094762,0.0003524843,0.0002328535,0.000906304,0.0002548076,0.001453234,0.000269676,0.0003411768,0.0007176343],"category_scores_gemma":[0.00416988,0.0002366684,0.0004455668,0.0004214347,0.001427378,0.002091821,0.0009793885,0.0004712445,0.00007336999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006080174,"about_ca_system_score_gemma":0.0005239465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004398979,"about_ca_topic_score_gemma":0.004812625,"domain_scores_codex":[0.9996527,0.0002259346,0.00001433225,0.0000492802,0.00003453943,0.00002318237],"domain_scores_gemma":[0.9982821,0.001341697,0.000172387,0.0001119903,0.0000496192,0.00004221328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003661373,0.0003380266,0.4018629,0.0007585626,0.0004473969,0.001607212,0.06228601,0.1774539,0.09670027,0.04975682,0.0004808561,0.2046465],"study_design_scores_gemma":[0.00007455814,0.0007292995,0.1717463,0.0001033881,0.0002078133,0.001305698,0.02047537,0.7239897,0.01443999,0.06519427,0.001565251,0.000168481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873199,0.00005153403,0.01217628,0.00005417221,7.976662e-7,0.00001113268,0.0000416022,0.00002490994,0.000319694],"genre_scores_gemma":[0.9953429,0.00002641466,0.004515972,0.000003601798,5.509447e-7,0.000007724126,0.000045114,0.000003737819,0.00005402375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004398979,"threshold_uncertainty_score":0.008746743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042732230933053,"score_gpt":0.413472053222994,"score_spread":0.3091988301296887,"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."}}