{"id":"W6930940673","doi":"10.5281/zenodo.3990008","title":"Ouranosinc/xclim: v0.19.0","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"","keywords":"Code refactoring; Class (philosophy); Metadata; Object (grammar); Key (lock); Variable (mathematics); Order (exchange); Set (abstract data type); Relation (database); Dimension (graph theory)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002381804,0.0002522831,0.0002003697,0.0001576911,0.0005925458,0.0003339416,0.00112055,0.0002742714,0.02308101],"category_scores_gemma":[0.0007554326,0.0002677396,0.00008877717,0.0002156633,0.0001386059,0.000005181523,0.001419214,0.000371246,0.01108124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003549457,"about_ca_system_score_gemma":0.000007499549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001667162,"about_ca_topic_score_gemma":6.861296e-7,"domain_scores_codex":[0.9984757,0.0002162381,0.0002398394,0.0004420739,0.0003004337,0.0003257322],"domain_scores_gemma":[0.9988,0.000004746656,0.0002151406,0.000619995,0.0001273623,0.0002327266],"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":[0.0000289052,0.00003291273,0.000001826933,0.0001480979,0.00008135897,0.000006119109,0.0001166299,0.00001176662,0.003621452,0.0004040199,0.9850427,0.0105042],"study_design_scores_gemma":[0.0003659858,0.0002550666,0.00001850846,0.00003886489,0.00002084132,0.00007051168,0.00005106038,0.00008981064,0.000375893,0.00001201495,0.9984119,0.0002895643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004931886,0.0004334029,0.003601959,0.0008661017,0.0001539692,0.0004130404,0.000456184,0.0007040238,0.993322],"genre_scores_gemma":[0.009159976,0.00200246,0.005492762,0.002856444,0.003074588,1.794596e-7,0.04570727,0.03008508,0.9016212],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09170076,"threshold_uncertainty_score":0.9999775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873998796038688,"score_gpt":0.2475643197285177,"score_spread":0.2288243317681308,"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."}}