{"id":"W4254173491","doi":"10.1515/iupac.73.0689","title":"Wax","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); Wax; 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":[0.001202854,0.002598671,0.001402018,0.00457576,0.001103573,0.00369095,0.003086304,0.00233757,0.1019168],"category_scores_gemma":[0.009121655,0.0006899724,0.001880324,0.00727519,0.0004928097,0.003311314,0.002917798,0.00196792,0.1966412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495294,"about_ca_system_score_gemma":0.002939478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0181212,"about_ca_topic_score_gemma":0.03686319,"domain_scores_codex":[0.9980888,0.0002871953,0.000253319,0.0007057413,0.0003912013,0.0002737026],"domain_scores_gemma":[0.9975076,0.0005487656,0.0002707031,0.0007337423,0.0007432295,0.0001960962],"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":[0.0001405932,0.00002758681,0.001783367,0.0013981,0.00005271243,0.00003942466,0.00004458713,0.0003678396,0.0002178609,0.00135503,0.9867995,0.007773418],"study_design_scores_gemma":[0.0001191826,0.00001912448,0.002576584,0.0005515929,0.00003292545,0.00007635579,0.0000937931,0.0003049644,0.0003425393,0.002054937,0.9938039,0.00002406439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001565688,0.0001583752,0.0001529519,0.00009188039,0.00004141713,0.00001857466,0.997713,0.0004661832,0.001201076],"genre_scores_gemma":[0.0003072369,0.000123658,0.0003249987,0.0000720809,0.000007257329,0.00005696492,0.9982157,0.00006962741,0.0008224989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1019168,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675459665187116,"score_gpt":0.4283312310739664,"score_spread":0.4115766344220952,"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."}}