{"id":"W4240609839","doi":"10.1515/iupac.85.0388","title":"Continuous Dynode Particle Multiplier","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","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; Analytical Chemistry (journal); Chromatography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001194992,0.0004058219,0.0006357799,0.0002201341,0.0001628398,0.0003745999,0.002174531,0.0002765931,0.00240743],"category_scores_gemma":[0.002015953,0.0003071399,0.0001442997,0.0004949041,0.0001754629,0.0002827613,0.0009580823,0.000484201,0.00003785476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003048376,"about_ca_system_score_gemma":0.0009526334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005363262,"about_ca_topic_score_gemma":0.00006350065,"domain_scores_codex":[0.9953284,0.000260329,0.0006261778,0.0008832448,0.002151177,0.0007507282],"domain_scores_gemma":[0.9957848,0.0003151757,0.0002719368,0.002110901,0.001125918,0.000391234],"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":[0.00002207641,0.0001903598,0.000004607512,0.00003615299,0.00005593934,0.000121118,0.00001190031,0.00002462375,0.00000640224,0.0001198709,0.9738374,0.02556958],"study_design_scores_gemma":[0.001076215,0.0001225979,0.00001226941,0.00009392657,0.00002169005,0.00001793991,0.000003306943,0.01722838,0.00006497122,0.0002117954,0.9807523,0.0003945726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002876229,0.0002197588,0.3046454,0.0009818721,0.0006281454,0.0002760953,0.6930893,0.0001231962,0.00003328572],"genre_scores_gemma":[0.000008483063,0.0004987,0.01947217,0.0003515141,0.0004928063,0.00003632357,0.9769604,0.00003714849,0.002142417],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2851733,"threshold_uncertainty_score":0.9999381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987011709467422,"score_gpt":0.406095205570549,"score_spread":0.3862250884758747,"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."}}