{"id":"W4233810417","doi":"10.1515/iupac.83.0422","title":"Natural Product","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Computer science; Process (computing); Field (mathematics); Multidisciplinary approach; Data science; Product (mathematics); Component (thermodynamics); Management science; Engineering; Sociology; Biology; Linguistics; Mathematics; Social science","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":[0.001037918,0.001915368,0.001513971,0.003652863,0.0008598415,0.002564817,0.002514534,0.001778045,0.06278065],"category_scores_gemma":[0.005574414,0.0006010784,0.001321054,0.006515443,0.0004929556,0.001985156,0.002169083,0.002149059,0.09917524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001873401,"about_ca_system_score_gemma":0.002823559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01555344,"about_ca_topic_score_gemma":0.03090672,"domain_scores_codex":[0.9985912,0.000177477,0.0002274813,0.0004277363,0.0004197095,0.0001562733],"domain_scores_gemma":[0.9976545,0.0004799178,0.0004045127,0.0006173849,0.0006105484,0.0002332081],"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":[0.0001269982,0.00003130753,0.001315065,0.001670613,0.00003871376,0.00004943771,0.00003189711,0.0002667194,0.0003072046,0.001209219,0.9892679,0.005685006],"study_design_scores_gemma":[0.00009128774,0.00001493047,0.002851363,0.0003835944,0.00002170094,0.00008675901,0.00004409683,0.0001452918,0.0003154936,0.001004138,0.9950216,0.00001968532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001206458,0.0001623162,0.00007437212,0.00004822127,0.0000180802,0.00001157102,0.9983176,0.0001697334,0.001077435],"genre_scores_gemma":[0.0002087915,0.0001214641,0.000198486,0.00004915095,0.00000363204,0.00003973255,0.9987429,0.00002532249,0.0006105992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06278065,"threshold_uncertainty_score":0.2100222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122097327539375,"score_gpt":0.3717924655548453,"score_spread":0.3595827328009078,"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."}}