{"id":"W4248286304","doi":"10.1515/iupac.73.0384","title":"Lcat","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Chemistry; Biochemistry; Food science; Commission; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001397641,0.0004396877,0.0006534818,0.0002199891,0.0000404736,0.0000262736,0.0004554582,0.0003207416,0.002093019],"category_scores_gemma":[0.0001528818,0.0003316756,0.0002006426,0.0002571116,0.00008441616,0.00009369827,0.0001015887,0.0004594716,0.000007118319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004968015,"about_ca_system_score_gemma":0.00006298885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001521329,"about_ca_topic_score_gemma":0.0001016909,"domain_scores_codex":[0.9981982,0.00002203838,0.0004043849,0.0003343313,0.0006483171,0.0003927338],"domain_scores_gemma":[0.9987211,0.00005789921,0.00008172419,0.0008263243,0.0001651306,0.0001478367],"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":[0.000008620347,0.00002926043,6.057543e-7,0.00008590559,0.0001027561,0.0000261442,0.000001074259,0.00004510312,0.0000390111,0.000003138334,0.988212,0.01144635],"study_design_scores_gemma":[0.0001493362,0.0000461512,0.000001627225,0.0001674888,0.00008839949,0.0000048465,0.000001669218,0.00006177952,0.0002289538,0.0005292959,0.998274,0.0004464245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004845218,0.00096091,0.02065632,0.000102691,0.000271137,0.0001273289,0.97694,0.000839873,0.00009690908],"genre_scores_gemma":[0.00001277213,0.003245849,0.0007026495,0.00009527052,0.0005660931,0.00002335843,0.995105,0.00007356396,0.0001754357],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01995367,"threshold_uncertainty_score":0.9999135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007839345636142282,"score_gpt":0.3748008726741216,"score_spread":0.3669615270379793,"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."}}