{"id":"W6966621789","doi":"10.4224/crm.2016.sqid-1","title":"SQID-1: Cuttlefish certified reference material for trace metals, arsenobetaine, and methylmercury","year":2016,"lang":"en","type":"other","venue":"","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Cuttlefish; TRACE (psycholinguistics); Certified reference materials; Methylmercury; Fraction (chemistry)","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":[0.002357438,0.001093727,0.0004301774,0.003391327,0.0006139629,0.0009449044,0.002128402,0.0007317325,0.01205419],"category_scores_gemma":[0.003231658,0.0003152102,0.00048601,0.002033561,0.000467852,0.0006497886,0.0009452548,0.000607384,0.006549443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001774111,"about_ca_system_score_gemma":0.003633265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02745786,"about_ca_topic_score_gemma":0.04936948,"domain_scores_codex":[0.9974534,0.0002305008,0.0001556504,0.0003222386,0.001738855,0.00009936147],"domain_scores_gemma":[0.9975247,0.000107662,0.0002124232,0.0001889994,0.001919335,0.00004684077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001285987,0.0005372972,0.06977949,0.002604492,0.0002365787,0.0006460474,0.0003806927,0.01010473,0.1628879,0.01705403,0.1790161,0.5554667],"study_design_scores_gemma":[0.0001981192,0.0006050652,0.09219495,0.0004552228,0.0001882803,0.0007810518,0.0002741957,0.01664879,0.2391509,0.006806056,0.642557,0.0001402954],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.2145948,0.002297434,0.194595,0.001178718,0.0006012742,0.002099314,0.1577869,0.009233484,0.4176131],"genre_scores_gemma":[0.4690061,0.002100676,0.1634495,0.0009087793,0.0000882462,0.001426677,0.1709668,0.001469369,0.1905839],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02745786,"threshold_uncertainty_score":0.05459607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3443451324039244,"score_gpt":0.4405550977270944,"score_spread":0.09620996532317,"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."}}