{"id":"W4237527075","doi":"10.1515/iupac.73.0658","title":"Tran S","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; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001197774,0.001418001,0.001265774,0.003285029,0.001032023,0.004133421,0.001937121,0.001747484,0.3872792],"category_scores_gemma":[0.01301392,0.0005818008,0.00124499,0.005925188,0.0004013064,0.002801159,0.002183854,0.001579487,0.4037515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277494,"about_ca_system_score_gemma":0.002980402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206952,"about_ca_topic_score_gemma":0.01890618,"domain_scores_codex":[0.9980262,0.0003080828,0.0002677704,0.0007314452,0.0004204911,0.0002459637],"domain_scores_gemma":[0.995811,0.001108527,0.0003627123,0.00106565,0.001335871,0.0003163551],"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":[0.00008035298,0.00001078227,0.001234144,0.0005414236,0.00002167871,0.00002473662,0.00001760306,0.0001188304,0.00005157532,0.001117113,0.9876051,0.009176504],"study_design_scores_gemma":[0.000055563,0.000009241699,0.001824143,0.0003974535,0.00001609435,0.00006886681,0.00005202079,0.0001460023,0.0001114071,0.001695782,0.995612,0.00001147278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001805877,0.0002124943,0.0002263455,0.0002539443,0.0001370793,0.00002569243,0.9902243,0.0005803556,0.008159258],"genre_scores_gemma":[0.00092498,0.0002674533,0.0004522027,0.0003122004,0.00005005278,0.00008410272,0.9916257,0.0002318144,0.006051586],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6127207,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173953970724962,"score_gpt":0.4261275521202559,"score_spread":0.4087321550477597,"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."}}