{"id":"W4255448276","doi":"10.1515/iupac.73.0086","title":"Blood Clot","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Chemistry; Biochemistry; Commission; Food science; Lipidology; European union; Human nutrition; Organic chemistry; Fatty acid; Polymer science; Computer science; Business; Mathematics; Political science; International trade; Law; Data mining","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":[0.001075643,0.001613321,0.001727201,0.003464958,0.0008443584,0.003741784,0.002437726,0.002475436,0.1319626],"category_scores_gemma":[0.01563767,0.0005126623,0.001739098,0.00529829,0.0003392457,0.002081863,0.001710738,0.001965094,0.1087564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138458,"about_ca_system_score_gemma":0.002733424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01077776,"about_ca_topic_score_gemma":0.01746112,"domain_scores_codex":[0.9985108,0.000174246,0.0002786565,0.0005369263,0.0003168666,0.0001825221],"domain_scores_gemma":[0.9946877,0.001641748,0.0008494802,0.001160703,0.00133801,0.0003224374],"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":[0.0003895504,0.00002508023,0.003818539,0.002414178,0.0001090912,0.00007000085,0.00002055048,0.0002320141,0.000107989,0.0009581007,0.9786674,0.01318743],"study_design_scores_gemma":[0.0005011517,0.0000556037,0.01124649,0.002190557,0.0001899286,0.0003991685,0.00006915598,0.0005495711,0.0005209081,0.004774422,0.9794541,0.00004903333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000336311,0.0005406545,0.0001960016,0.0001913798,0.00008859794,0.00003915189,0.9955667,0.0003794664,0.0026618],"genre_scores_gemma":[0.001658268,0.0005177068,0.0005235284,0.0002668044,0.00005301008,0.0001457674,0.9945557,0.00009574695,0.002183427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1319626,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545571757819477,"score_gpt":0.4112793912381229,"score_spread":0.3958236736599282,"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."}}