{"id":"W4251845739","doi":"10.1515/iupac.85.0344","title":"Benzyl Ion","year":2016,"lang":"pl","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Chemistry and Analysis","field":"Environmental Science","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; Accelerator mass spectrometry; Tandem mass spectrometry; Analytical Chemistry (journal); Chromatography; European union; Organic chemistry; Business; 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":[0.002138558,0.001438451,0.001835731,0.004689957,0.00120345,0.006193639,0.002359037,0.001402724,0.3932251],"category_scores_gemma":[0.01801863,0.0006782393,0.00163941,0.01009168,0.0005761511,0.004381326,0.002983113,0.002312016,0.4780337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001916247,"about_ca_system_score_gemma":0.004307575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018917,"about_ca_topic_score_gemma":0.01317274,"domain_scores_codex":[0.9960318,0.0005927848,0.0005702242,0.001152745,0.001314959,0.0003374642],"domain_scores_gemma":[0.9921259,0.001853536,0.000794612,0.002069809,0.00270683,0.0004491888],"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":[0.00008674021,0.00001071616,0.0005445927,0.0007976706,0.00002273031,0.00001576256,0.00002073841,0.00006562579,0.0001002931,0.0009032467,0.9845101,0.01292183],"study_design_scores_gemma":[0.00003685932,0.00000567993,0.0009307138,0.0002672554,0.00001084705,0.00002179964,0.00003218664,0.00003704426,0.0001263699,0.0008473304,0.9976746,0.000009098542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001529492,0.0003958221,0.0003195527,0.0003881307,0.0002249014,0.00005393933,0.983612,0.00106979,0.01378295],"genre_scores_gemma":[0.0008181346,0.0007310827,0.0008596891,0.0005066405,0.00007325711,0.0001743222,0.9837406,0.00059234,0.01250387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3932251,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007877586796530804,"score_gpt":0.3410704563717106,"score_spread":0.3331928695751798,"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."}}