{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001431938,0.002145224,0.00178576,0.003717144,0.001033167,0.003423584,0.003417835,0.001535223,0.1208227],"category_scores_gemma":[0.007806192,0.0006780279,0.001770042,0.008010899,0.0003613309,0.003218244,0.002141565,0.002065343,0.2685133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526532,"about_ca_system_score_gemma":0.002468462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01594201,"about_ca_topic_score_gemma":0.01912525,"domain_scores_codex":[0.9973585,0.0002822532,0.0002923548,0.0008139899,0.0009917862,0.0002610624],"domain_scores_gemma":[0.9966124,0.0004338973,0.0002720817,0.0009712913,0.001586189,0.0001241617],"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":[0.0001089011,0.00002238093,0.0008926342,0.0005061157,0.00003856696,0.00001790791,0.00001496519,0.0002885945,0.0001874344,0.0007968753,0.979917,0.0172087],"study_design_scores_gemma":[0.00007875278,0.00001451937,0.002275852,0.0001967666,0.00002899875,0.00006645843,0.00004963599,0.0005689576,0.0008377008,0.002764156,0.9930878,0.00003047283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002641982,0.000322849,0.001420937,0.0001317246,0.0001140014,0.0000604647,0.9879035,0.004180813,0.005601409],"genre_scores_gemma":[0.0008851582,0.0003173798,0.002501562,0.0001580764,0.00002921589,0.0001533305,0.9917715,0.0004914951,0.003692111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1208227,"threshold_uncertainty_score":0.4041921,"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."}}