{"id":"W4411617869","doi":"10.51847/hgmovmy","title":"10.51847/HgMOvMY","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Renal function and acid-base balance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Chemistry; Chromatography; Pharmacology; Medicine; Computer science; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000681997,0.0009111293,0.0004979529,0.001189063,0.0007058353,0.001648236,0.0006981954,0.001505167,0.879911],"category_scores_gemma":[0.0007883789,0.0002409827,0.000420996,0.0007074582,0.0006710002,0.0009797632,0.001859722,0.001078857,0.8601837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005041867,"about_ca_system_score_gemma":0.0006824613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001219533,"about_ca_topic_score_gemma":0.0008524245,"domain_scores_codex":[0.9995758,0.00006363555,0.00003322217,0.000142433,0.0001020699,0.00008279656],"domain_scores_gemma":[0.9992742,0.0001106495,0.00006739814,0.0001145166,0.0001530105,0.0002802181],"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":[0.0004067793,0.0005099446,0.006094136,0.0002646547,0.00003048626,0.0006346805,0.0001186066,0.0001792625,0.004590073,0.002566388,0.1606308,0.8239743],"study_design_scores_gemma":[0.0001249187,0.0002408514,0.01218545,0.0004038858,0.0000273429,0.002659645,0.0001766562,0.000455308,0.001415615,0.002226502,0.9800541,0.00002967495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01707441,0.004028372,0.005015015,0.004208155,0.002182931,0.0003010188,0.003359634,0.004141856,0.9596885],"genre_scores_gemma":[0.03055257,0.001102536,0.005255502,0.003271156,0.000909986,0.000187506,0.002554414,0.0005656917,0.9556006],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.120089,"threshold_uncertainty_score":0.1712924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006147489358734007,"score_gpt":0.1974180038524815,"score_spread":0.1912705144937475,"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."}}