{"id":"W4252290967","doi":"10.1515/iupac.85.0505","title":"Ion Enhancement","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; European commission; Standardization; Tandem mass spectrometry; Accelerator mass spectrometry; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; European union; Business; 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":[0.002140491,0.002513383,0.001922854,0.004956301,0.001356563,0.004819453,0.003286252,0.001854243,0.1514149],"category_scores_gemma":[0.012536,0.0007023608,0.002507058,0.008877869,0.0004663608,0.004350715,0.003276594,0.001940697,0.2651643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001959224,"about_ca_system_score_gemma":0.003719216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01320797,"about_ca_topic_score_gemma":0.02171212,"domain_scores_codex":[0.9968545,0.0004690137,0.0004563642,0.0009217052,0.0009474428,0.0003510607],"domain_scores_gemma":[0.9946868,0.00110112,0.000513234,0.001595523,0.001831063,0.000272265],"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":[0.0001276835,0.00001699354,0.0007727539,0.001021521,0.00003579661,0.00002131317,0.00002039665,0.00014735,0.0001553653,0.0007970713,0.9874682,0.009415462],"study_design_scores_gemma":[0.00007651102,0.000009288525,0.001384487,0.0003096348,0.000024692,0.0000423025,0.00004233031,0.0001492042,0.000386423,0.001329751,0.996227,0.00001834645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001468845,0.000331022,0.000329611,0.0001763536,0.00009576132,0.00004245555,0.9931097,0.001644326,0.004123867],"genre_scores_gemma":[0.0004693923,0.0003906121,0.001164178,0.0002260109,0.00002684411,0.000126739,0.9944223,0.0003503909,0.0028235],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1514149,"threshold_uncertainty_score":0.5065334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182099721795927,"score_gpt":0.3879015247580408,"score_spread":0.3760805275400815,"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."}}