{"id":"W4236982905","doi":"10.1515/iupac.85.0504","title":"Ion Energy Loss Spectrum","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; European commission; Standardization; 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":[0.001719695,0.00182622,0.001513121,0.005835143,0.0009666005,0.003351726,0.002434844,0.001369532,0.07910004],"category_scores_gemma":[0.007685022,0.0005053373,0.001479245,0.008605534,0.000421799,0.002468497,0.002066799,0.001906732,0.1636716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602099,"about_ca_system_score_gemma":0.002508719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0103642,"about_ca_topic_score_gemma":0.01378293,"domain_scores_codex":[0.9979178,0.0002157149,0.0002998506,0.0005471276,0.0008198222,0.0001995958],"domain_scores_gemma":[0.9961557,0.0006808026,0.0004692028,0.0009604528,0.001572382,0.000161479],"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":[0.000152622,0.00002201142,0.00151818,0.001018971,0.00005329288,0.00003711045,0.00002482962,0.0002181462,0.0003709631,0.0007512684,0.9854251,0.01040757],"study_design_scores_gemma":[0.00007731034,0.00001255198,0.003965026,0.000312895,0.00003208163,0.00008909456,0.00005394919,0.0001815907,0.0008185583,0.001600858,0.9928305,0.00002573982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000197262,0.0002179061,0.0002577679,0.00008617328,0.00004901149,0.00002056745,0.9963936,0.0007610958,0.002016545],"genre_scores_gemma":[0.0005940685,0.0003016524,0.0007876789,0.00008804494,0.00001561603,0.00008313825,0.9962805,0.0001723706,0.001676945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07910004,"threshold_uncertainty_score":0.264616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00861821379762859,"score_gpt":0.3548514754639455,"score_spread":0.3462332616663168,"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."}}