{"id":"W4255677602","doi":"10.1515/iupac.88.1335","title":"Sinus Venosus","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Historical and Scientific Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Medicine; Computer science; Linguistics; Philosophy","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":[0.0007662256,0.000770139,0.001217603,0.003008405,0.0005702353,0.002300322,0.0009805065,0.0008471987,0.09380261],"category_scores_gemma":[0.008936544,0.0003073053,0.001199383,0.00423304,0.0004030018,0.00167078,0.001426422,0.001369867,0.0404099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008304616,"about_ca_system_score_gemma":0.00221651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007081936,"about_ca_topic_score_gemma":0.008641372,"domain_scores_codex":[0.9989259,0.0001724758,0.0003420138,0.0002869227,0.0001813629,0.00009138185],"domain_scores_gemma":[0.9967093,0.001327141,0.0007255637,0.0005720168,0.0004905881,0.0001752348],"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":[0.0009381349,0.00003071468,0.0126527,0.008452367,0.0002454007,0.0006838724,0.0001080531,0.0007515017,0.0003691578,0.005093965,0.8814582,0.08921596],"study_design_scores_gemma":[0.0003027517,0.00003540219,0.01258398,0.004670178,0.0001492222,0.002566689,0.0001476419,0.0003344065,0.0002816409,0.006500772,0.9723808,0.00004654849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002566905,0.005843955,0.001336915,0.0005848275,0.0003732617,0.0001995167,0.9660724,0.0004660707,0.02255603],"genre_scores_gemma":[0.01481783,0.007747896,0.003333061,0.001341329,0.0002915173,0.0007029004,0.9651077,0.0002807475,0.006376976],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09380261,"threshold_uncertainty_score":0.313801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.037090491512482,"score_gpt":0.4346090507374193,"score_spread":0.3975185592249373,"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."}}