{"id":"W4236923281","doi":"10.1515/iupac.83.0407","title":"Lead Identification","year":2016,"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":"McMaster University","funders":"","keywords":"Glossary; Identification (biology); Context (archaeology); Field (mathematics); Computer science; Process (computing); Multidisciplinary approach; Data science; Management science; Engineering; Sociology; Geography; Biology; Linguistics; Mathematics; Archaeology; Social science","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":[0.000695014,0.0005291244,0.0006436998,0.00008806468,0.0001011217,0.00008260985,0.0007966995,0.0007004587,0.02641234],"category_scores_gemma":[0.001938,0.0004346282,0.0002209919,0.0001450686,0.0002004507,0.00006928006,0.0002541569,0.0006555245,0.00002099556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138741,"about_ca_system_score_gemma":0.0008136532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001845626,"about_ca_topic_score_gemma":0.00003202223,"domain_scores_codex":[0.9963665,0.00003808513,0.0008478571,0.0008124951,0.001437797,0.0004972806],"domain_scores_gemma":[0.9972049,0.0002035408,0.0004507347,0.001382367,0.0005326781,0.0002257509],"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":[0.00005748358,0.000130502,0.000003947218,0.0005647492,0.0001467501,0.00004347015,0.000003399765,1.048824e-7,0.003721955,0.000003653896,0.9877347,0.007589335],"study_design_scores_gemma":[0.0004305698,0.000008101707,0.000003792055,0.00041776,0.0001588265,0.0000142989,0.00001656955,0.000005338749,0.01673539,0.0003755735,0.9812793,0.000554485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001854639,0.0002849872,0.004589679,0.000536838,0.0002663112,0.000066878,0.9935114,0.0001172753,0.0006080925],"genre_scores_gemma":[0.000006708358,0.0006101319,0.0008457834,0.00008545665,0.00107736,0.00002336733,0.9858755,0.00005381396,0.01142188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02639134,"threshold_uncertainty_score":0.9998106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649312515436016,"score_gpt":0.4255780336493878,"score_spread":0.3990849084950277,"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."}}