{"id":"W4250366392","doi":"10.1515/iupac.85.0758","title":"Sustained Off-Resonance Irradiation (SORI)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Radiation Effects and Dosimetry","field":"Agricultural and Biological Sciences","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; Standardization; Accelerator mass spectrometry; Tandem mass spectrometry; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; Organic chemistry; Linguistics","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":[0.002453068,0.001463477,0.0014386,0.003622625,0.0007920846,0.002841372,0.002481767,0.001327027,0.08056661],"category_scores_gemma":[0.01171514,0.0005885263,0.001679943,0.007616055,0.0003707984,0.002150901,0.001907867,0.001701182,0.1154905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001887231,"about_ca_system_score_gemma":0.003167297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01415532,"about_ca_topic_score_gemma":0.02000919,"domain_scores_codex":[0.9971269,0.0005128675,0.000450792,0.0007156832,0.0009683576,0.0002254205],"domain_scores_gemma":[0.9948437,0.001347239,0.000820016,0.001230734,0.0015335,0.0002247931],"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":[0.0001910909,0.00002030819,0.001348615,0.001839124,0.0000600434,0.00001863502,0.00002369011,0.0002143431,0.0002494502,0.0007868691,0.9830525,0.01219529],"study_design_scores_gemma":[0.000112091,0.00001881288,0.004356309,0.0005149078,0.00004451567,0.00004566269,0.00004246355,0.0001336833,0.0005877425,0.001273924,0.992844,0.00002575495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001347351,0.0002618232,0.0002085737,0.00009670992,0.00004309909,0.00002510059,0.9966743,0.0005130223,0.0020427],"genre_scores_gemma":[0.0005720449,0.0004285996,0.000751945,0.0001271945,0.00001623147,0.0001472965,0.9958106,0.0001900801,0.001956012],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08056661,"threshold_uncertainty_score":0.2695222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00877195408090968,"score_gpt":0.3287377384792036,"score_spread":0.3199657843982939,"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."}}