{"id":"W4242276407","doi":"10.1515/iupac.73.0524","title":"Pi","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; Commission; Food science; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; 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":[0.0008584617,0.001282594,0.001232913,0.003058163,0.0007337893,0.004304506,0.001869839,0.001332428,0.4644412],"category_scores_gemma":[0.01079551,0.0004736396,0.0009053533,0.00701607,0.0002561244,0.002611723,0.002424244,0.001361913,0.5876476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009570558,"about_ca_system_score_gemma":0.002388149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007061969,"about_ca_topic_score_gemma":0.00846496,"domain_scores_codex":[0.9984174,0.0001979626,0.0001942148,0.0006067013,0.0003743252,0.0002093817],"domain_scores_gemma":[0.9968647,0.0006120809,0.0002586045,0.0008952128,0.001042511,0.0003268665],"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":[0.00005614932,0.00001136196,0.001259453,0.0004462027,0.00001630468,0.00001441577,0.00001124929,0.00006124948,0.00006920508,0.0006974199,0.9820703,0.01528669],"study_design_scores_gemma":[0.00004076489,0.00000663735,0.001637042,0.0002393638,0.000009635687,0.00003774777,0.00002964114,0.0001179464,0.0001053504,0.001191058,0.996577,0.0000077184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001910722,0.0002120188,0.0002382095,0.0002980658,0.0001520207,0.00004008618,0.9868637,0.0006662943,0.01133852],"genre_scores_gemma":[0.0008012996,0.0003234593,0.0004434939,0.0002704346,0.00005492783,0.0001198328,0.9887747,0.0002029089,0.009008855],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4644412,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171406513921338,"score_gpt":0.4248050231377542,"score_spread":0.4076643717456204,"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."}}