{"id":"W7101385425","doi":"10.5281/zenodo.17459675","title":"Neurobagel CLI: Command line tool for Neurobagel data parsing and annotation","year":2025,"lang":"","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cybernetics and Technology in Society","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Parsing; Annotation; Python (programming language); Line (geometry); Simple (philosophy)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000897505,0.0004701393,0.0004885462,0.0003779125,0.005615012,0.003053526,0.002058005,0.0003437889,0.01698459],"category_scores_gemma":[0.001013275,0.0005268702,0.0001133567,0.0002629702,0.001087873,0.000306682,0.00411961,0.0008076841,0.0008849005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008293585,"about_ca_system_score_gemma":0.00001507379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004638977,"about_ca_topic_score_gemma":0.000006919706,"domain_scores_codex":[0.9967924,0.0003424897,0.000646424,0.001248561,0.0003473541,0.0006227811],"domain_scores_gemma":[0.9969586,0.0001608368,0.0004113803,0.001535926,0.0007979687,0.0001352634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000943369,0.0002537459,0.000002470304,0.0005714671,0.0002327302,0.00001060145,0.002179234,0.00001071768,0.00014078,0.08786163,0.7442058,0.1644365],"study_design_scores_gemma":[0.0012229,0.000441273,0.00007661078,0.0002448485,0.000221292,0.00002796897,0.0006949737,0.003202068,0.00001806794,0.001339996,0.9920406,0.0004693695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005062379,0.003102945,0.01437539,0.007749628,0.001972039,0.005677407,0.02424794,0.002482294,0.93533],"genre_scores_gemma":[0.1765601,0.02111089,0.004369852,0.004234662,0.005539001,0.000001557377,0.08675123,0.02384237,0.6775903],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2577397,"threshold_uncertainty_score":0.999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07307277074991922,"score_gpt":0.2729035999923675,"score_spread":0.1998308292424483,"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."}}