{"id":"W2014835011","doi":"10.1080/21507740.2012.721454","title":"Neuroimaging and Mental Health: Drowning in a Sea of Acrimony","year":2012,"lang":"en","type":"article","venue":"AJOB Neuroscience","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Neuroimaging; Psychology; Mental health; Psychiatry; Psychoanalysis","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":[0.0001593826,0.0002973611,0.0002672557,0.00103285,0.002093608,0.0008631229,0.0004846495,0.001588058,0.002729622],"category_scores_gemma":[0.001220746,0.0002132445,0.000232126,0.0008048625,0.001033868,0.000987967,0.001100231,0.001485497,0.0002177559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074066,"about_ca_system_score_gemma":0.0008022285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07537767,"about_ca_topic_score_gemma":0.1233991,"domain_scores_codex":[0.9998866,0.00001893627,0.000009862202,0.00002047833,0.00001700433,0.00004694488],"domain_scores_gemma":[0.9997402,0.00002250298,0.00008355339,0.00001359476,0.00005234824,0.00008781759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000250335,0.0003233337,0.9427344,0.00007190667,0.00007430238,0.03890597,0.006777001,0.0001227788,0.001971742,0.0004143658,0.001764752,0.006589023],"study_design_scores_gemma":[0.00000788819,0.0001853117,0.9648574,0.00008724185,0.0000317764,0.01093445,0.02166428,0.0001550049,0.0001385779,0.0005115092,0.00140678,0.0000198317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9960951,0.0003178807,0.00004868613,0.001729894,0.00004702312,0.00001019001,0.00009579506,0.000002052956,0.0016534],"genre_scores_gemma":[0.9984219,0.0004276928,0.00008409197,0.0003467317,0.00008118628,0.000004811061,0.00009809423,0.000001964651,0.0005334911],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.07537767,"threshold_uncertainty_score":0.1498778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04990355269983288,"score_gpt":0.3756037769351632,"score_spread":0.3257002242353303,"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."}}