{"id":"W3134939489","doi":"10.1002/cjs.11603","title":"Discussion of “Statistical disease mapping for heterogeneous neuroimaging studies”","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institute on Drug Abuse; National Institute of Mental Health","keywords":"Neuroimaging; Disease; Computer science; Statistical analysis; Data science; Psychology; Neuroscience; Medicine; Statistics; Mathematics; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09016639,0.001386288,0.002077378,0.004119181,0.002241453,0.005466946,0.006389671,0.007694216,0.003502462],"category_scores_gemma":[0.1533812,0.0009175328,0.004371301,0.00340857,0.01715079,0.008668697,0.004585374,0.01418343,0.0009247542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003774949,"about_ca_system_score_gemma":0.004282657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003209005,"about_ca_topic_score_gemma":0.002160063,"domain_scores_codex":[0.9489969,0.03457269,0.003777763,0.004436367,0.007609294,0.0006070053],"domain_scores_gemma":[0.8524371,0.1272599,0.003136353,0.006614342,0.009221226,0.00133115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000185671,0.0000128938,0.0004218387,0.0001674883,0.0001409192,0.0001036109,0.0002719796,0.001880395,0.0001504982,0.9473844,0.02654021,0.02290735],"study_design_scores_gemma":[0.00001404771,0.00002669007,0.0004220937,0.0001427632,0.00005531207,0.000291215,0.00008769516,0.007108357,0.0002759852,0.9421105,0.04943275,0.0000326646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.001621012,0.01173167,0.7600943,0.2067024,0.008778622,0.0001276154,0.0006366679,0.0003047274,0.01000297],"genre_scores_gemma":[0.1394709,0.01058354,0.6357817,0.1499428,0.05241601,0.001425917,0.0005670406,0.0007774745,0.009034637],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.09016639,"threshold_uncertainty_score":0.4768512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115627126450925,"score_gpt":0.2903042534492916,"score_spread":0.2691479821847823,"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."}}