{"id":"W4252396223","doi":"10.1515/iupac.73.0460","title":"Nut","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); Food science; Commission; Product (mathematics); 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":[0.001142365,0.002203876,0.001533247,0.00389137,0.0009952978,0.003363104,0.003092894,0.002152713,0.1107537],"category_scores_gemma":[0.008867159,0.0007076386,0.001783749,0.005886455,0.0004285333,0.002546998,0.002911604,0.00185755,0.193125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402956,"about_ca_system_score_gemma":0.002521457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0165887,"about_ca_topic_score_gemma":0.0356417,"domain_scores_codex":[0.9981682,0.0002837908,0.0002362786,0.0006961952,0.000396476,0.0002189421],"domain_scores_gemma":[0.9973085,0.0005441396,0.0003263487,0.0007167504,0.0008661274,0.0002381837],"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":[0.0001714769,0.00002980237,0.002213452,0.001375716,0.00006696933,0.00003632049,0.00004258567,0.0002799226,0.0001953663,0.001150745,0.9874234,0.00701436],"study_design_scores_gemma":[0.000152907,0.00002498828,0.003572283,0.000583011,0.00004576627,0.00008185202,0.00007848978,0.0003021125,0.0002985096,0.001761042,0.993075,0.00002409315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001664019,0.0001423497,0.0001127386,0.00008909433,0.00004054911,0.00001684466,0.9979864,0.0003303715,0.001115101],"genre_scores_gemma":[0.0003321033,0.0001096582,0.0002695473,0.00008423515,0.00000806077,0.00005348275,0.9980191,0.00007126713,0.001052572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8892463,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667374849170873,"score_gpt":0.4291040208774239,"score_spread":0.4124302723857152,"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."}}