{"id":"W3153162625","doi":"10.2147/ndt.s304434","title":"Functional Connectivity During Visuospatial Processing in Schizophrenia: A Classification Study Using Lasso Regression","year":2021,"lang":"en","type":"article","venue":"Neuropsychiatric Disease and Treatment","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bishop's University; Université de Montréal; Institut Universitaire en Santé Mentale de Québec","funders":"Canadian Institutes of Health Research; Eli Lilly Canada; Eli Lilly and Company","keywords":"Functional magnetic resonance imaging; Mental rotation; Precentral gyrus; Inferior parietal lobule; Schizophrenia (object-oriented programming); Neuroimaging; Superior parietal lobule; Audiology; Neuroscience; Cognition; Inferior frontal gyrus; Medicine; Psychology; Cognitive psychology; Magnetic resonance imaging; Psychiatry","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":[0.00848896,0.0007629941,0.0009954575,0.001217204,0.0005373045,0.0006538212,0.0007106565,0.0004406518,0.001346212],"category_scores_gemma":[0.01318503,0.0002387148,0.002202268,0.001004697,0.0006014761,0.0003642532,0.0005732794,0.0007164979,0.0001397819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003682295,"about_ca_system_score_gemma":0.0005100525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002825344,"about_ca_topic_score_gemma":0.002612254,"domain_scores_codex":[0.9980158,0.001285172,0.0001188156,0.000387449,0.0001195731,0.00007318956],"domain_scores_gemma":[0.9882718,0.009038102,0.001402827,0.0006949279,0.0004076924,0.0001846861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004771641,0.00043021,0.8179525,0.0008540109,0.01230724,0.0009258449,0.0005614227,0.06626318,0.006300575,0.001405534,0.003008301,0.0852195],"study_design_scores_gemma":[0.0003563925,0.001024493,0.3571722,0.0002075744,0.005450605,0.0009980134,0.0003440268,0.6247613,0.002863302,0.004915175,0.001802666,0.0001042249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551894,0.002282944,0.04069221,0.0004391897,0.00003956286,0.00008867126,0.0007005506,0.0001518963,0.0004155596],"genre_scores_gemma":[0.9903819,0.0003941298,0.007893463,0.00002884259,0.00003413765,0.00010636,0.000948202,0.00004256866,0.0001703693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00848896,"threshold_uncertainty_score":0.0448944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574206225839144,"score_gpt":0.2585268210114045,"score_spread":0.2327847587530131,"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."}}