{"id":"W4251126766","doi":"10.1515/iupac.85.0378","title":"Collision Cell","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; Accelerator mass spectrometry; Standardization; Tandem mass spectrometry; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; Linguistics; 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":[0.00181227,0.00194181,0.001836698,0.003851085,0.001411954,0.004337985,0.003647938,0.001653734,0.1648264],"category_scores_gemma":[0.009892079,0.0007827194,0.001807564,0.007169828,0.0003177074,0.00331948,0.00249868,0.002078308,0.2680953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002126601,"about_ca_system_score_gemma":0.003572416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01709586,"about_ca_topic_score_gemma":0.02033865,"domain_scores_codex":[0.9971806,0.0003927676,0.0003989014,0.0008234548,0.000931522,0.0002728352],"domain_scores_gemma":[0.9958198,0.0008536853,0.0003844218,0.001261688,0.001492631,0.0001877644],"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":[0.0001451931,0.00001783894,0.0008075377,0.0007327731,0.00003696439,0.00001848588,0.00002109347,0.000254151,0.0001860762,0.001284108,0.9841635,0.01233224],"study_design_scores_gemma":[0.00006303164,0.000008331303,0.00111721,0.000162677,0.00002269643,0.00003925977,0.00003111686,0.000229935,0.0005127265,0.001608683,0.9961843,0.00002004137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002054217,0.0003450365,0.00086742,0.0001427895,0.0001066287,0.00005324254,0.9896727,0.002714483,0.005892291],"genre_scores_gemma":[0.0007322605,0.0003760374,0.001796117,0.0001987413,0.00002404963,0.000142631,0.9925061,0.0005907527,0.003633264],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1648264,"threshold_uncertainty_score":0.5513994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009927673937800882,"score_gpt":0.3746280784310274,"score_spread":0.3647004044932265,"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."}}