{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00336516,0.004616734,0.002540925,0.003191828,0.0009676117,0.003901051,0.006129671,0.002401761,0.1980061],"category_scores_gemma":[0.01172412,0.005161156,0.003129928,0.001644843,0.0009021719,0.006707747,0.005177362,0.006004119,0.2892798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001208709,"about_ca_system_score_gemma":0.002609272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003132666,"about_ca_topic_score_gemma":0.002729157,"domain_scores_codex":[0.9975355,0.0002676107,0.0002848252,0.0006993692,0.0007695835,0.000443077],"domain_scores_gemma":[0.99277,0.001927792,0.0004647703,0.002268518,0.001897296,0.0006715927],"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":[0.001040102,0.0002246135,0.002416206,0.001438392,0.0002069543,0.0001533156,0.0002119411,0.001060134,0.008545551,0.003928356,0.8854741,0.09530029],"study_design_scores_gemma":[0.0008708478,0.0002052557,0.005661807,0.0007631775,0.0002227682,0.0004638793,0.0001636008,0.01438635,0.06628633,0.02090115,0.8894906,0.0005842529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0007467775,0.0001554338,0.05917006,0.0001671257,0.0002543391,0.0001871418,0.02092532,0.9118182,0.006575539],"genre_scores_gemma":[0.01077509,0.0003910663,0.06417624,0.001081181,0.0002341178,0.0008436607,0.09920155,0.7959808,0.02731631],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1980061,"threshold_uncertainty_score":0.6623964,"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."}}