{"id":"W6912845135","doi":"10.5281/zenodo.8173599","title":"Scientific tool integration in CBRAIN","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University","funders":"","keywords":"Identification (biology); System integration; Data integration; Work (physics)","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":[0.005415394,0.001060545,0.001053887,0.003347689,0.0008127716,0.005035934,0.003142079,0.002071351,0.03761651],"category_scores_gemma":[0.0120113,0.0007114219,0.001652066,0.001819164,0.001304187,0.004718273,0.005639483,0.001980269,0.01496221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009632775,"about_ca_system_score_gemma":0.001654763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003601,"about_ca_topic_score_gemma":0.003857177,"domain_scores_codex":[0.9956464,0.001125448,0.0003976143,0.0007790064,0.001664484,0.000386933],"domain_scores_gemma":[0.9948484,0.001735035,0.000177947,0.00208872,0.000921988,0.0002280316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000932903,0.0005048069,0.001661917,0.001242932,0.0002882732,0.001042618,0.001224939,0.01885345,0.01790052,0.1235971,0.07651121,0.7562395],"study_design_scores_gemma":[0.0002365186,0.0001858834,0.001145412,0.0004405269,0.0001885145,0.001066331,0.0003283418,0.1529051,0.04124759,0.1709568,0.6311545,0.0001444595],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006915226,0.000935294,0.848676,0.001525772,0.0004271113,0.000451645,0.00182817,0.08544094,0.05379992],"genre_scores_gemma":[0.2030539,0.0008984333,0.7373152,0.0009829256,0.0002162201,0.0005422673,0.008651725,0.0105313,0.03780795],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03761651,"threshold_uncertainty_score":0.1258398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08326916125946257,"score_gpt":0.2766321824631806,"score_spread":0.193363021203718,"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."}}