{"id":"W6929550562","doi":"10.5281/zenodo.1039388","title":"pydata/xarray: v0.10.0rc1","year":2017,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Python (programming language); Software; HT1080","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":[0.004573706,0.004888724,0.004266386,0.003988838,0.002214569,0.005029316,0.008321096,0.002078642,0.1930804],"category_scores_gemma":[0.008485324,0.003803663,0.003373236,0.004835191,0.001459676,0.003727882,0.005290945,0.004803934,0.2164372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609484,"about_ca_system_score_gemma":0.0036176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00784097,"about_ca_topic_score_gemma":0.01192755,"domain_scores_codex":[0.9976445,0.0003518697,0.0001734861,0.0009310581,0.0006078906,0.0002911766],"domain_scores_gemma":[0.9973507,0.0008352434,0.000175468,0.001052843,0.0003255623,0.0002602534],"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":[0.0004966339,0.00007157993,0.0009925585,0.001643781,0.0002336174,0.0001062519,0.0001893982,0.002054266,0.004579816,0.003327878,0.9686475,0.01765667],"study_design_scores_gemma":[0.0006198382,0.0000633957,0.002344277,0.0002911667,0.0001226675,0.000220242,0.00009627303,0.01327136,0.01955941,0.02957575,0.9335733,0.0002622979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0009170671,0.0002575777,0.05272081,0.0002589815,0.0001905095,0.0001300241,0.5039786,0.4361338,0.005412675],"genre_scores_gemma":[0.00709963,0.0003840312,0.08535931,0.0006292086,0.00007512941,0.001630325,0.7260941,0.1685316,0.01019669],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1930804,"threshold_uncertainty_score":0.6459181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02853566584829751,"score_gpt":0.2655659543967308,"score_spread":0.2370302885484333,"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."}}