{"id":"W4242864476","doi":"10.1515/iupac.85.0444","title":"Electrospray Needle","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Intravenous Infusion Technology and Safety","field":"Engineering","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; Electrospray mass spectrometry; Tandem mass spectrometry; Electrospray; Analytical Chemistry (journal); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002832442,0.0004300945,0.0005352708,0.0002481322,0.0001162035,0.00002114933,0.0005247162,0.0009695125,0.004819619],"category_scores_gemma":[0.0001270722,0.0003451185,0.0001371082,0.0001797626,0.0001228035,0.00004931364,0.00008196913,0.0009742506,0.00001807329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004017749,"about_ca_system_score_gemma":0.0002092925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001314207,"about_ca_topic_score_gemma":0.0001886826,"domain_scores_codex":[0.9982355,0.00002329403,0.0004017935,0.0002939563,0.0004585444,0.0005869503],"domain_scores_gemma":[0.9988117,0.00004827639,0.00007069083,0.0008086027,0.0001667682,0.00009392417],"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":[0.00002807283,0.00004402797,5.638931e-7,0.00008564493,0.0001022764,0.00004894274,0.000004989099,0.0000139765,0.0001021262,0.00007249953,0.9927867,0.006710199],"study_design_scores_gemma":[0.0003772783,0.000137097,0.000003851549,0.0001340948,0.00004974853,0.00003256752,0.000005654359,0.00002509622,0.000715965,0.0005193666,0.9975607,0.0004385694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004944955,0.0009436054,0.001202857,0.000200096,0.001243886,0.0001763451,0.994951,0.0007090119,0.0005237242],"genre_scores_gemma":[0.00007174224,0.003346471,0.00006613388,0.0001453427,0.0005907539,0.00001572166,0.9953234,0.00006265499,0.0003778142],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00627163,"threshold_uncertainty_score":0.9999001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00479839071375225,"score_gpt":0.3147714038020217,"score_spread":0.3099730130882694,"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."}}