{"id":"W2265189085","doi":"10.5281/zenodo.45896","title":"seqware-bag: 1.0.1","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Princess Margaret Cancer Centre","funders":"","keywords":"Computer science","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":[0.005029282,0.0001017498,0.0001224098,0.0003874267,0.001909835,0.002028809,0.002732623,0.00003169022,0.03815474],"category_scores_gemma":[0.006438514,0.00006715347,0.0000599617,0.001041619,0.0001939029,0.0004045872,0.002854176,0.00006591845,0.08510464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008564244,"about_ca_system_score_gemma":0.000002798384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005111604,"about_ca_topic_score_gemma":2.078419e-7,"domain_scores_codex":[0.9968935,0.0004184401,0.0003668711,0.0007744168,0.001196435,0.0003503484],"domain_scores_gemma":[0.9974235,0.0001781426,0.0001296747,0.001375544,0.0007043753,0.000188731],"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":[0.000009798365,0.00002822588,0.000005725426,0.000001689877,0.000005819052,0.000004243167,0.0001399851,0.00001038342,0.0009963234,0.004311484,0.5148424,0.4796439],"study_design_scores_gemma":[0.0002921962,0.00006377078,0.001065778,0.0000146121,0.000003306413,0.00002313004,0.0001813425,0.0002768716,0.0002330167,0.002929899,0.9948066,0.000109472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06980863,0.00007499948,0.2398514,0.01338582,0.001524983,0.0006931421,0.0005927392,0.002529282,0.6715389],"genre_scores_gemma":[0.974933,0.0000135052,0.0006115251,0.0002551663,0.0001895012,1.471433e-8,0.0001662786,0.0004981903,0.02333283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9051244,"threshold_uncertainty_score":0.9993895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1676147623526122,"score_gpt":0.3401312381988739,"score_spread":0.1725164758462616,"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."}}