{"id":"W4237257084","doi":"10.1515/iupac.85.0545","title":"Kinetic Shift","year":2016,"lang":"sv","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; Tandem mass spectrometry; Analytical Chemistry (journal); Environmental chemistry; Chromatography; Organic chemistry; 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":[0.001248862,0.001979797,0.00146049,0.004080091,0.001146328,0.004106966,0.002885508,0.001552258,0.1223173],"category_scores_gemma":[0.01047922,0.0005672465,0.002474873,0.00645456,0.000368282,0.003398778,0.002129903,0.002063732,0.2006129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001978883,"about_ca_system_score_gemma":0.002878185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0207542,"about_ca_topic_score_gemma":0.03164006,"domain_scores_codex":[0.997677,0.0002795885,0.0003317806,0.0008049251,0.0006278306,0.0002787658],"domain_scores_gemma":[0.9958924,0.0008883112,0.0004425685,0.001259345,0.001295311,0.0002220048],"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":[0.0001535561,0.0000298809,0.002011226,0.0008603903,0.00004760151,0.00002454329,0.000028614,0.0002955906,0.0001272237,0.001472564,0.9825907,0.01235814],"study_design_scores_gemma":[0.0000769201,0.00001454503,0.003749852,0.0003382821,0.00002891152,0.00005812616,0.00008750545,0.0002742018,0.0003160414,0.002098866,0.9929286,0.00002823252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002655341,0.0002659599,0.0002440403,0.0001353636,0.00009934953,0.0000230315,0.9944226,0.0007679968,0.003776067],"genre_scores_gemma":[0.0007896275,0.0002390006,0.00051389,0.0001221895,0.00002232295,0.00008145408,0.9953901,0.0001852296,0.002656277],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1223173,"threshold_uncertainty_score":0.4091922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011527149286994,"score_gpt":0.3810837404417954,"score_spread":0.3695565911548014,"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."}}