{"id":"W4241818232","doi":"10.1515/iupac.85.0662","title":"Point Detector","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Terminology; Chemical nomenclature; Mass spectrometry; Standardization; Chemistry; Accelerator mass spectrometry; European commission; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; Business; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009292358,0.0002383735,0.0002600685,0.00009747097,0.00003891119,0.00003538619,0.0001736901,0.0001693184,0.002695582],"category_scores_gemma":[0.00004382061,0.0001940279,0.00008604876,0.00007423166,0.00003356765,0.0001276217,0.00003742596,0.0002094543,0.000007036567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005036189,"about_ca_system_score_gemma":0.00008370724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000217075,"about_ca_topic_score_gemma":0.0001478191,"domain_scores_codex":[0.9989994,0.00001211009,0.0003172007,0.0001760108,0.0002671287,0.0002282103],"domain_scores_gemma":[0.9994025,0.00002527637,0.00005826702,0.0003393138,0.00008638741,0.00008821033],"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":[0.000009363802,0.00001563004,0.000005378922,0.00004170316,0.00004413565,0.000001681809,0.000001577426,0.00007520381,0.00004841698,0.000004421968,0.9880559,0.01169656],"study_design_scores_gemma":[0.000354978,0.00005452413,0.0001045638,0.00008463595,0.00002545295,0.000001174848,0.000005961549,0.0002355981,0.0001169362,0.00003612021,0.9987476,0.0002323972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001788526,0.00009882727,0.00302571,0.00008382952,0.0007832202,0.0001409647,0.9939128,0.0001332654,0.00003281976],"genre_scores_gemma":[0.0001979981,0.0001864145,0.0002665932,0.00004638535,0.0005491939,0.00001541435,0.9986431,0.00003570612,0.0000592035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01146416,"threshold_uncertainty_score":0.9982161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005627660586408,"score_gpt":0.3272617427566363,"score_spread":0.3172054661507722,"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."}}