{"id":"W4239795599","doi":"10.1515/iupac.73.0350","title":"Ico","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); Commission; Food science; Chemistry; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Data mining; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001279126,0.002013116,0.001806464,0.005150286,0.001152799,0.004981202,0.003003646,0.002454789,0.2007452],"category_scores_gemma":[0.01360852,0.0006056016,0.001567634,0.009183271,0.0004773744,0.002922288,0.003117862,0.001834791,0.294962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162884,"about_ca_system_score_gemma":0.004065393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01554563,"about_ca_topic_score_gemma":0.02530369,"domain_scores_codex":[0.997696,0.0003688897,0.0003118404,0.0008115415,0.0004855104,0.0003262028],"domain_scores_gemma":[0.9957901,0.001030296,0.0004819963,0.001094837,0.00120198,0.0004008814],"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":[0.00008690476,0.00001343594,0.0009588038,0.001325266,0.00003363777,0.0000256664,0.00002095286,0.0001800483,0.00009224112,0.0009339637,0.9900835,0.006245521],"study_design_scores_gemma":[0.00008656052,0.00001164798,0.001551902,0.0006049177,0.00002645998,0.00005405275,0.00004784001,0.0001699837,0.0001531662,0.00157376,0.9957034,0.0000163545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009055081,0.0001915013,0.0001246711,0.0001200319,0.00006241595,0.00001833857,0.9964155,0.0004114643,0.002565474],"genre_scores_gemma":[0.0003058727,0.0001741062,0.0002920584,0.0001301252,0.00001890223,0.00006290898,0.9974406,0.0001094125,0.0014661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7992548,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684896669317688,"score_gpt":0.428373182946861,"score_spread":0.4115242162536841,"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."}}