{"id":"W4242242191","doi":"10.1515/iupac.85.0337","title":"Axial Ejection","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; Accelerator mass spectrometry; Standardization; Analytical Chemistry (journal); Political science; Chromatography; Law; 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":[0.001519963,0.001978295,0.001618568,0.004298878,0.001319598,0.004803564,0.002686716,0.001622508,0.1968606],"category_scores_gemma":[0.0125168,0.0006025626,0.00162948,0.007569521,0.0004292721,0.003600859,0.00303555,0.001775127,0.3204356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001969094,"about_ca_system_score_gemma":0.003718989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0176893,"about_ca_topic_score_gemma":0.02938964,"domain_scores_codex":[0.9974179,0.0004102083,0.0003523968,0.0007601266,0.0007009299,0.0003584332],"domain_scores_gemma":[0.9946474,0.001273966,0.0004993519,0.001448232,0.001793218,0.0003378198],"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":[0.00007474291,0.000009561847,0.0006448968,0.0005391579,0.00001491048,0.0000129827,0.00001909214,0.00007652685,0.00005466849,0.0008492647,0.9921292,0.005575045],"study_design_scores_gemma":[0.00004980938,0.000006833852,0.001344377,0.000275956,0.000010539,0.00002611641,0.00005896666,0.00007591178,0.0001312526,0.001170374,0.9968374,0.00001252696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008489218,0.0001294437,0.0001195413,0.0001222412,0.00004845077,0.00001667065,0.9957034,0.0007176105,0.00305769],"genre_scores_gemma":[0.0003461588,0.0001808243,0.0003788134,0.000144323,0.00001814532,0.00007359061,0.9961958,0.0002161366,0.002446167],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1968606,"threshold_uncertainty_score":0.6585642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150865566699158,"score_gpt":0.3801224503512947,"score_spread":0.3686137946843031,"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."}}