{"id":"W6931072031","doi":"10.5281/zenodo.2614079","title":"cbedetti/Dcm2Bids 2.1.0","year":2019,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Debugging; Software; Code (set theory); Table (database); Key (lock)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00370828,0.004567323,0.003107749,0.004414097,0.00154312,0.007273894,0.00881574,0.003540144,0.575772],"category_scores_gemma":[0.01025929,0.003378707,0.003326345,0.003333738,0.0008797936,0.006848975,0.005310014,0.005231079,0.6625145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002541481,"about_ca_system_score_gemma":0.002221326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006924797,"about_ca_topic_score_gemma":0.005134248,"domain_scores_codex":[0.9974209,0.0002847173,0.0001535535,0.0005637279,0.001181502,0.0003955978],"domain_scores_gemma":[0.9962869,0.0006333336,0.0001415909,0.00149878,0.001060335,0.0003791054],"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":[0.0002225272,0.00002029038,0.0001459633,0.0002980019,0.00002777289,0.00004447679,0.00004478799,0.0002587377,0.001149007,0.002864472,0.9813742,0.01354976],"study_design_scores_gemma":[0.0001822344,0.00002822815,0.0003813189,0.0001238136,0.0000252452,0.0001320771,0.00002498775,0.002345476,0.007155095,0.005527236,0.9839759,0.00009828081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0004559114,0.0003286235,0.04189235,0.000398325,0.0005512216,0.0001546437,0.1207846,0.7596742,0.07576022],"genre_scores_gemma":[0.005705289,0.0003745699,0.02781345,0.0007350197,0.000234999,0.0005645285,0.2755919,0.6270363,0.06194409],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.575772,"threshold_uncertainty_score":0.6051098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777922342533568,"score_gpt":0.2496272137064257,"score_spread":0.22184799028109,"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."}}