{"id":"W4243891797","doi":"10.1515/iupac.85.0787","title":"Vertical Ionization","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":"Chemical nomenclature; Terminology; Mass spectrometry; Chemistry; Standardization; Analytical Chemistry (journal); Computer science; Chromatography; Organic chemistry","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":[0.001946538,0.002110731,0.001674352,0.004024691,0.001238162,0.004716647,0.003165454,0.001464491,0.1514271],"category_scores_gemma":[0.009821319,0.0006507839,0.001944399,0.008244052,0.0004441045,0.004422225,0.002842377,0.002159118,0.2352375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725227,"about_ca_system_score_gemma":0.003657939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01450757,"about_ca_topic_score_gemma":0.01737802,"domain_scores_codex":[0.997272,0.0003387855,0.0003337352,0.0008292587,0.000932627,0.0002935987],"domain_scores_gemma":[0.9961823,0.0007151819,0.0004525057,0.001022502,0.001443186,0.000184319],"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":[0.000119432,0.00001472568,0.0009514045,0.001169613,0.00004743907,0.00001972627,0.0000243416,0.0001629954,0.0002395422,0.001196487,0.9845526,0.01150174],"study_design_scores_gemma":[0.00006347997,0.000009257167,0.001863668,0.0003444124,0.00002697603,0.00004328471,0.00004769617,0.0001812454,0.0004878255,0.002037337,0.9948723,0.00002251776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001683513,0.0003899987,0.0004731097,0.0001497012,0.00008728145,0.00003945535,0.9919058,0.00138286,0.005403433],"genre_scores_gemma":[0.00073457,0.0005762367,0.001398675,0.0002000619,0.00002797648,0.0001243988,0.9930813,0.0003963971,0.003460296],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1514271,"threshold_uncertainty_score":0.5065742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101041749106752,"score_gpt":0.3792046079200493,"score_spread":0.3681941904289818,"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."}}