{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005020127,0.0002070464,0.0001946956,0.0004363146,0.0006920722,0.001263273,0.003109206,0.0001670698,0.01399812],"category_scores_gemma":[0.0002977991,0.0002138104,0.0000589943,0.000512436,0.0000738228,0.0001974177,0.001866907,0.0004279178,0.08888381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008123607,"about_ca_system_score_gemma":0.000006265188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003835506,"about_ca_topic_score_gemma":3.236927e-7,"domain_scores_codex":[0.9979607,0.0003630593,0.0001991727,0.0007023662,0.0004399698,0.0003347407],"domain_scores_gemma":[0.9979558,0.00002009707,0.0002131116,0.001512861,0.0001587181,0.0001394404],"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":[0.000002648997,0.00003562531,4.753812e-7,0.00005570681,0.00001975634,0.000003661321,0.000113952,0.000004215426,0.00009775377,0.02499909,0.829226,0.1454412],"study_design_scores_gemma":[0.00021653,0.00008543383,0.00005558678,0.00006056751,0.000006820537,0.00003846428,0.00001705821,0.001503685,0.00001421156,0.00007795966,0.9976845,0.0002392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002126792,0.0001758062,0.1020913,0.0009699293,0.0002685765,0.0003171977,0.0001333734,0.002767191,0.8932745],"genre_scores_gemma":[0.00204491,0.0002732978,0.00437943,0.000341195,0.0005115086,5.17645e-8,0.005080041,0.008593268,0.9787763],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1684585,"threshold_uncertainty_score":0.9997735,"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."}}