{"id":"W3132015753","doi":"10.1002/cjs.11591","title":"On statistical tests of functional connectome fingerprinting","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Connectome; Connectomics; Computer science; Statistical hypothesis testing; Permutation (music); Matching (statistics); Statistic; Biometrics; Test statistic; Cluster analysis; Multiple comparisons problem; Statistics; Data mining; Artificial intelligence; Pattern recognition (psychology); Mathematics; Psychology; Neuroscience","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":[0.1465084,0.001341522,0.003215549,0.005410117,0.002323921,0.003727167,0.006220903,0.004896509,0.005305286],"category_scores_gemma":[0.6317682,0.0008827981,0.003206794,0.007739712,0.01945957,0.00896958,0.00613076,0.006556949,0.0006858661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00272177,"about_ca_system_score_gemma":0.003339307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002035411,"about_ca_topic_score_gemma":0.0006702422,"domain_scores_codex":[0.8330039,0.1294726,0.005338606,0.0127467,0.01692622,0.002512005],"domain_scores_gemma":[0.1395837,0.8115596,0.01349598,0.02882887,0.005232716,0.001299171],"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":[0.001917231,0.0004426798,0.07566658,0.001131897,0.002191611,0.002290496,0.001521077,0.2155224,0.003358836,0.567744,0.00569474,0.1225185],"study_design_scores_gemma":[0.0002587308,0.001008823,0.01726549,0.0002736132,0.0001781662,0.001128734,0.0004968648,0.4725404,0.00376213,0.5003725,0.002555583,0.0001589431],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.146432,0.0008890341,0.8430338,0.002440081,0.0002987816,0.0004857335,0.0008152301,0.0006894289,0.004915883],"genre_scores_gemma":[0.8540718,0.0003675186,0.1408771,0.0008576201,0.0004876918,0.001091161,0.0009651377,0.0003376044,0.0009442966],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1465084,"threshold_uncertainty_score":0.7748199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05050194305680104,"score_gpt":0.2580231279203308,"score_spread":0.2075211848635298,"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."}}