{"id":"W4416331727","doi":"10.1080/29979676.2025.2569894","title":"Statistics, Data Science, and the Connectome","year":2025,"lang":"en","type":"article","venue":"Statistics and data science in imaging.","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Connectome; Human Connectome Project; Neuroimaging; Functional connectivity; Connectomics; Cognition; Power graph analysis; Causal model; Functional neuroimaging; Graph theory","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":[0.02094253,0.001216814,0.002032941,0.008747732,0.001208663,0.007925728,0.001538877,0.003008847,0.003620963],"category_scores_gemma":[0.1037552,0.0007591007,0.0009499367,0.01284971,0.009605854,0.008353803,0.00377645,0.007038612,0.00107373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003084431,"about_ca_system_score_gemma":0.003862266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002979688,"about_ca_topic_score_gemma":0.002152751,"domain_scores_codex":[0.9806663,0.01301495,0.001183659,0.001788585,0.003148116,0.0001983308],"domain_scores_gemma":[0.8793076,0.106937,0.004008691,0.005747275,0.003092733,0.0009066402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004735457,0.00002501825,0.002633686,0.001129504,0.000208704,0.0002517744,0.0004907966,0.009349753,0.0004789836,0.8416898,0.02380407,0.1198906],"study_design_scores_gemma":[0.000009117288,0.0000141987,0.0008213518,0.0002890746,0.00001896996,0.0001509743,0.0001288376,0.01353166,0.0001709947,0.9523493,0.03248451,0.00003104065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005947643,0.0637695,0.8541569,0.05836289,0.001943533,0.000156358,0.002827124,0.001370188,0.0114659],"genre_scores_gemma":[0.2218869,0.1030497,0.6447707,0.01132161,0.0088796,0.001414731,0.003833656,0.001035811,0.003807212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02094253,"threshold_uncertainty_score":0.110756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03236640182886594,"score_gpt":0.3729832706549989,"score_spread":0.340616868826133,"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."}}