{"id":"W4248819663","doi":"10.1515/iupac.85.0607","title":"Momentum Separator","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; Analytical Chemistry (journal); 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":[0.001811072,0.00205917,0.001727353,0.004551518,0.001274401,0.004857373,0.003319675,0.001802131,0.1341212],"category_scores_gemma":[0.01053421,0.0007862172,0.001782951,0.008884151,0.0004314974,0.003609546,0.002407629,0.002365064,0.2635894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002072045,"about_ca_system_score_gemma":0.0043565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01802805,"about_ca_topic_score_gemma":0.0251692,"domain_scores_codex":[0.9975179,0.0003703854,0.0003241152,0.0007022595,0.0008309775,0.0002543517],"domain_scores_gemma":[0.9952461,0.000972493,0.0005447809,0.00120811,0.001775703,0.0002527358],"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":[0.00009257122,0.00001633291,0.0007701126,0.0006276653,0.00002728281,0.00001424526,0.00001798564,0.0001820505,0.0001081181,0.0008965675,0.9892236,0.008023462],"study_design_scores_gemma":[0.00007772665,0.000008849399,0.001442085,0.0002419423,0.00001799069,0.00002915289,0.00004320611,0.0002327562,0.0003426484,0.001375373,0.9961693,0.00001895091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001124933,0.0001669822,0.0002740035,0.0001233793,0.00005952349,0.0000224016,0.9955419,0.00127409,0.00242526],"genre_scores_gemma":[0.0004043705,0.0002272554,0.0008010417,0.0001010303,0.00001815293,0.00009290517,0.9958113,0.0003105087,0.002233392],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1341212,"threshold_uncertainty_score":0.44868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111161967916537,"score_gpt":0.3933482707129099,"score_spread":0.3822320739212562,"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."}}