{"id":"W4248506697","doi":"10.1515/iupac.83.0486","title":"Effects of Matrix Composition in CHG","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Borane; Chemistry; Derivatization; Rationalization (economics); Nanotechnology; Catalysis; Mass spectrometry; Organic chemistry; Materials science; Chromatography","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":[0.002190957,0.0008031654,0.001091185,0.001592351,0.0004777368,0.001765434,0.001003039,0.0008993779,0.006990636],"category_scores_gemma":[0.01241369,0.0002549529,0.001587675,0.003632043,0.0004148544,0.0009561236,0.0009077304,0.0008194588,0.003490481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008616187,"about_ca_system_score_gemma":0.001069691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009337739,"about_ca_topic_score_gemma":0.0154833,"domain_scores_codex":[0.9974393,0.0005817109,0.0005112543,0.000922125,0.0003708559,0.0001747244],"domain_scores_gemma":[0.9952166,0.002662859,0.000748884,0.0006108131,0.0006606361,0.0001002789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008068636,0.0002937887,0.5199138,0.03357906,0.005734573,0.0005966683,0.0006062033,0.005295748,0.0138005,0.002798664,0.2746031,0.1347094],"study_design_scores_gemma":[0.0008339379,0.0003760261,0.4190567,0.002763557,0.002865928,0.001251203,0.0006164391,0.003022324,0.009349562,0.003348731,0.5563695,0.000146083],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04902002,0.01163361,0.001056681,0.0007050997,0.0002045119,0.0001255393,0.9345853,0.0004953536,0.002173803],"genre_scores_gemma":[0.1354263,0.00400636,0.004333604,0.0007908769,0.00008116617,0.0005721359,0.852127,0.00026907,0.002393447],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009337739,"threshold_uncertainty_score":0.023386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016559926966729,"score_gpt":0.4011873699696347,"score_spread":0.3910217706999674,"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."}}