{"id":"W2964818795","doi":"10.1111/biom.13287","title":"Generalized reliability based on distances","year":2020,"lang":"en","type":"article","venue":"Biometrics","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Israel Science Foundation","keywords":"Intraclass correlation; Reliability (semiconductor); Set (abstract data type); Confidence interval; Data set; Correlation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03307843,0.001595722,0.002597512,0.006098785,0.0009768631,0.002815249,0.002176427,0.001705919,0.002332615],"category_scores_gemma":[0.2025063,0.0006668484,0.002354215,0.005074839,0.005808716,0.004071427,0.004820204,0.002935856,0.0007115514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769441,"about_ca_system_score_gemma":0.001625746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002485522,"about_ca_topic_score_gemma":0.00119486,"domain_scores_codex":[0.9510617,0.03193513,0.002754136,0.006823198,0.006644586,0.0007811846],"domain_scores_gemma":[0.8349186,0.11874,0.008910855,0.0218688,0.01466872,0.0008930989],"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":[0.000302735,0.00007811065,0.03628429,0.001258425,0.001926671,0.00045327,0.003272913,0.1326972,0.001944437,0.6015347,0.005954193,0.2142931],"study_design_scores_gemma":[0.00007446017,0.000410626,0.02367594,0.0004747744,0.0003955306,0.0007204052,0.0006205341,0.243935,0.001607864,0.7158691,0.01197672,0.0002391636],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02782453,0.001919059,0.9648138,0.0004977855,0.0001981357,0.0001542852,0.0004369731,0.0002645242,0.003890914],"genre_scores_gemma":[0.7011808,0.002054798,0.2916994,0.0003330531,0.0005791403,0.001325811,0.00101743,0.0003022827,0.001507264],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03307843,"threshold_uncertainty_score":0.1749375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09668905902704032,"score_gpt":0.2882283721959374,"score_spread":0.1915393131688971,"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."}}