{"id":"W6968118192","doi":"10.5281/zenodo.13989021","title":"Neurobagel CLI: Command line tool for Neurobagel data parsing and annotation","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Educational Environments and Student Outcomes","field":"Social Sciences","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000792358,0.0001590182,0.0001677639,0.0001894417,0.001467822,0.001094449,0.0009258971,0.0001034233,0.004835292],"category_scores_gemma":[0.000648948,0.0001667076,0.00003498996,0.0002113106,0.0002543058,0.0001830829,0.0009941193,0.0002144561,0.001522769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007102506,"about_ca_system_score_gemma":0.000008619914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009591956,"about_ca_topic_score_gemma":0.00001066841,"domain_scores_codex":[0.9982686,0.0002692823,0.0002095798,0.0005608889,0.0004100197,0.0002816438],"domain_scores_gemma":[0.9991533,0.00006046178,0.000123621,0.0004674328,0.00008167815,0.0001135195],"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":[0.00001065996,0.00006894606,0.000008109982,0.0001183379,0.00004464182,0.000003295484,0.001457628,0.000002938963,0.00002131981,0.006415937,0.9699634,0.02188476],"study_design_scores_gemma":[0.0002181359,0.00005722608,0.0002774172,0.00006712053,0.00004845213,0.000004581559,0.0005088717,0.00008852014,7.114056e-7,0.0002997901,0.9982599,0.0001692956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007570329,0.001266117,0.002420555,0.009313769,0.001112052,0.002099821,0.003161125,0.001184179,0.9786854],"genre_scores_gemma":[0.01013147,0.003788945,0.001656917,0.00111905,0.00235676,4.503496e-7,0.01392318,0.008895441,0.9581278],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02829645,"threshold_uncertainty_score":0.9999425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1073205884648572,"score_gpt":0.3571451219230296,"score_spread":0.2498245334581723,"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."}}