{"id":"W4237814876","doi":"10.1515/iupac.85.0354","title":"Carbocation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Terminology; Chemical nomenclature; Mass spectrometry; Chemistry; Accelerator mass spectrometry; Standardization; Analytical Chemistry (journal); Political science; Environmental chemistry; Chromatography; Organic chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.001239876,0.001654339,0.001470416,0.00483112,0.001043362,0.003904324,0.002414981,0.001352797,0.1511757],"category_scores_gemma":[0.00898568,0.0005945678,0.001743899,0.008241666,0.0003700465,0.002831358,0.001950878,0.001719666,0.1743566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002232566,"about_ca_system_score_gemma":0.00359454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01873871,"about_ca_topic_score_gemma":0.0290479,"domain_scores_codex":[0.9976795,0.0002862285,0.0003235278,0.0006768521,0.0008056713,0.0002282156],"domain_scores_gemma":[0.9963637,0.0008255753,0.0005121164,0.0009550455,0.001134059,0.0002095175],"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":[0.0001430388,0.00002248454,0.001125164,0.001773588,0.00004475343,0.00002780044,0.00002318986,0.0002171735,0.0002455591,0.001641558,0.9822773,0.01245831],"study_design_scores_gemma":[0.00005253844,0.000008288344,0.001491634,0.000280738,0.0000203624,0.00003577078,0.00002960955,0.00008273486,0.0002445191,0.0009996723,0.9967404,0.00001380633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001741569,0.0004265324,0.0001949066,0.0001177336,0.00006492666,0.00002387771,0.9943586,0.0005603517,0.004078971],"genre_scores_gemma":[0.00052963,0.0004721376,0.0005293167,0.0001279553,0.00001408813,0.00006448825,0.9954036,0.0001652016,0.002693453],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1511757,"threshold_uncertainty_score":0.505733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137447164120675,"score_gpt":0.3884630224200332,"score_spread":0.3770885507788264,"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."}}