{"id":"W2936760626","doi":"10.1093/bioinformatics/btz278","title":"ORCA: a comprehensive bioinformatics container environment for education and research","year":2019,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia","funders":"National Human Genome Research Institute; Genome British Columbia; Genome Canada","keywords":"License; Container (type theory); MIT License; Computer science; Suite; Debugging; Software; Source code; Software engineering; Operating system; World Wide Web; Bioinformatics; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007799207,0.0002428309,0.0002626045,0.0002242485,0.0001959969,0.0001328803,0.00034614,0.0002934517,0.00004388117],"category_scores_gemma":[0.0002402197,0.0002050848,0.00009877881,0.0001399304,0.000349053,0.00003023328,0.0004066227,0.0002170785,0.0003057872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005770405,"about_ca_system_score_gemma":0.0003756875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001237408,"about_ca_topic_score_gemma":0.000004207795,"domain_scores_codex":[0.9978117,0.00004595445,0.0006560166,0.000225416,0.0006158316,0.0006450444],"domain_scores_gemma":[0.9984084,0.0001180159,0.0001616949,0.0005810956,0.0004228657,0.0003078823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009834311,0.001140111,0.006206001,0.007464691,0.000593036,0.00000151771,0.007160317,0.000176843,0.05639518,0.004987236,0.2134863,0.7014053],"study_design_scores_gemma":[0.001830755,0.001758014,0.001396957,0.00008340407,0.00002304154,0.00003069283,0.007387698,0.02141397,0.007483079,0.0003279514,0.9577857,0.0004787373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9311736,0.002420893,0.03257684,0.001590367,0.001368245,0.007179665,0.0003678817,0.00007413113,0.02324843],"genre_scores_gemma":[0.6277651,0.008523933,0.3349146,0.004431407,0.001263913,0.0006433645,0.003321928,0.0001595847,0.01897614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7442994,"threshold_uncertainty_score":0.8363116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03086956639264518,"score_gpt":0.3195236531301011,"score_spread":0.2886540867374559,"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."}}