{"id":"W1970630454","doi":"10.1117/12.2007013","title":"Multi-object statistical analysis of late adolescent depression","year":2013,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of British Columbia","funders":"","keywords":"Parahippocampal gyrus; Hippocampus; Amygdala; Principal component analysis; Neuroscience; Psychology; Medicine; Computer science; Pattern recognition (psychology); Artificial intelligence; Temporal lobe","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005915349,0.0002761829,0.0006417934,0.0001896899,0.00006537867,0.00007156857,0.0006881738,0.0002073573,0.0001243528],"category_scores_gemma":[0.001433829,0.0002010983,0.000767465,0.0006440824,0.0001814661,0.0002956366,0.0001985333,0.000289908,0.000002534052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008896666,"about_ca_system_score_gemma":0.0000190276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002717986,"about_ca_topic_score_gemma":2.282156e-7,"domain_scores_codex":[0.9976985,3.461509e-8,0.0009256966,0.0003656455,0.0006689974,0.0003411126],"domain_scores_gemma":[0.9972261,0.0004149663,0.0005525519,0.00008114277,0.001591771,0.0001334423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004904134,0.0006002055,0.006029595,0.0005937188,0.001870038,9.946558e-8,0.0001239,0.0001255675,0.4243814,0.5606301,0.005214748,0.0003816412],"study_design_scores_gemma":[0.003977747,0.0007030748,0.2058798,0.00100751,0.004660796,0.0000122467,0.002203374,0.5879265,0.1711908,0.01992231,0.00119322,0.001322609],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955204,0.00003865203,0.002366099,0.0005060142,0.00009037485,0.0005573612,0.0001119824,0.00005784492,0.0007512676],"genre_scores_gemma":[0.5705243,0.00002991938,0.4290463,0.00004966337,0.00007922707,0.00009602227,0.00001236411,0.00003007566,0.000132213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5878009,"threshold_uncertainty_score":0.820055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02174895946558537,"score_gpt":0.2665410537475019,"score_spread":0.2447920942819165,"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."}}