{"id":"W6930508276","doi":"10.5281/zenodo.1189443","title":"huard/copula 1.0","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"","keywords":"Copula (linguistics); Bayesian probability; Joint probability distribution; Probability distribution; Prior probability; Statistical model; Imprecise probability","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":[0.001462102,0.002419223,0.001367629,0.002447708,0.000709281,0.001557346,0.00246114,0.00144928,0.1588085],"category_scores_gemma":[0.007851193,0.00198966,0.001545845,0.001524293,0.0003324106,0.001572054,0.001903539,0.001840656,0.07374293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000683126,"about_ca_system_score_gemma":0.001280633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005444623,"about_ca_topic_score_gemma":0.007781792,"domain_scores_codex":[0.9994677,0.0001020088,0.00004202054,0.00009945337,0.0002298239,0.00005898866],"domain_scores_gemma":[0.9984555,0.0007917033,0.0001405295,0.0001816775,0.0003714225,0.00005904588],"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":[0.000193538,0.0001339015,0.001815299,0.001199283,0.0003136543,0.0003645597,0.000239343,0.05884931,0.003481808,0.03346718,0.5490111,0.3509311],"study_design_scores_gemma":[0.0002469515,0.00005536421,0.001751691,0.0003442594,0.0001076447,0.0005605735,0.00005556208,0.6797087,0.01689363,0.04745124,0.2526728,0.0001515236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.001645896,0.0007344161,0.8069521,0.0001657562,0.0001229679,0.0001878006,0.01315408,0.1624939,0.01454322],"genre_scores_gemma":[0.03593157,0.000850427,0.7979038,0.0003212479,0.0001137776,0.001070253,0.02494632,0.1115958,0.02726682],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1588085,"threshold_uncertainty_score":0.5312675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04210725950871134,"score_gpt":0.2988823652071356,"score_spread":0.2567751056984242,"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."}}