{"id":"W4231790755","doi":"10.1515/iupac.88.0167","title":"Active Sampling","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; National Research Council Canada","funders":"","keywords":"Computer science; Extraction (chemistry); Sampling (signal processing); Sample (material); Process engineering; Microwave; Sample preparation; Chromatography; Chemistry; Engineering; Telecommunications","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":[0.000514467,0.0006890377,0.000984023,0.00007400133,0.0003095265,0.0001641342,0.00130158,0.0008836946,0.01966584],"category_scores_gemma":[0.003842659,0.0006622374,0.0002950401,0.00006844455,0.0002722731,0.00008219756,0.000586905,0.001524591,0.000007846186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230336,"about_ca_system_score_gemma":0.001459835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007655052,"about_ca_topic_score_gemma":0.00009291215,"domain_scores_codex":[0.9964475,0.00002735905,0.0005969063,0.000890929,0.001396412,0.0006408623],"domain_scores_gemma":[0.9963234,0.0002726927,0.0006161884,0.001926412,0.0005102346,0.0003510949],"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":[0.0001507433,0.0001494088,0.000004402507,0.0006425551,0.0003252486,0.000115314,0.000008992135,9.255901e-7,0.0003079931,0.000001115528,0.9920939,0.00619946],"study_design_scores_gemma":[0.0005266609,0.0000131828,0.000008426554,0.0006032614,0.0002585452,0.00002171972,0.00004471604,0.000007951215,0.003956113,0.0002025504,0.9936256,0.0007312988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004120993,0.0002202266,0.001117912,0.0001702669,0.0002597231,0.00007198843,0.9964329,0.00009364961,0.001592119],"genre_scores_gemma":[0.000006061262,0.0003181163,0.004084951,0.00008301991,0.00130475,0.00001782596,0.9912776,0.00006464959,0.002842984],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.019658,"threshold_uncertainty_score":0.9995829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04991188676580956,"score_gpt":0.4784674925996126,"score_spread":0.428555605833803,"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."}}