{"id":"W2917493659","doi":"10.5281/zenodo.16014","title":"seqware: 1.1.0","year":2015,"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":"University of Waterloo; Ontario Institute for Cancer Research","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006359507,0.003467603,0.002633263,0.00340297,0.001399893,0.006622795,0.009005416,0.003267014,0.4835197],"category_scores_gemma":[0.02077911,0.004535634,0.003877963,0.002988903,0.001234844,0.00577363,0.004867819,0.005844107,0.6207671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321504,"about_ca_system_score_gemma":0.00406092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003713535,"about_ca_topic_score_gemma":0.002023511,"domain_scores_codex":[0.9968612,0.0005133562,0.0003525459,0.0007025073,0.001047541,0.0005228055],"domain_scores_gemma":[0.9902118,0.002741975,0.0004152194,0.002757101,0.003142744,0.0007311114],"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":[0.0006104418,0.00007635652,0.0004151212,0.0008843049,0.0001013546,0.00008884838,0.0001502988,0.0008218022,0.002961381,0.004583177,0.949689,0.03961781],"study_design_scores_gemma":[0.0004216276,0.0001568642,0.001047259,0.0005402678,0.0001070854,0.000248577,0.00009103271,0.00427774,0.01448524,0.01620737,0.962153,0.0002638961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0005877996,0.0002015706,0.0821134,0.0004390269,0.0007387319,0.000415886,0.08090649,0.8119729,0.02262416],"genre_scores_gemma":[0.006449684,0.0004546097,0.06335199,0.001132578,0.0003536566,0.001080102,0.2240699,0.6401581,0.06294947],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.4835197,"threshold_uncertainty_score":0.7366965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2946471193580309,"score_gpt":0.3653019629446018,"score_spread":0.07065484358657087,"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."}}