{"id":"W6891798091","doi":"10.4224/crm.2015.cana-1","title":"CANA-1: Certified Reference Material of Canadine","year":2015,"lang":"en","type":"other","venue":"NRC Digital Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Calibration; Certification; Certified reference materials; Reference data; Process (computing)","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":[0.003089679,0.00151924,0.0009777141,0.008522295,0.002039691,0.002124845,0.005093624,0.002668643,0.09138157],"category_scores_gemma":[0.009789434,0.0005889045,0.0006836519,0.00630697,0.001420081,0.002358711,0.001853641,0.001674582,0.06299501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002183386,"about_ca_system_score_gemma":0.005412067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01023178,"about_ca_topic_score_gemma":0.02114003,"domain_scores_codex":[0.9889238,0.0008738551,0.0003214865,0.001213366,0.008367237,0.0003000928],"domain_scores_gemma":[0.9948867,0.0005631276,0.0003016171,0.0007492461,0.003355221,0.000144182],"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":[0.0007137508,0.0005625041,0.002289875,0.004358713,0.000122525,0.00046283,0.0004452865,0.00304729,0.1289595,0.02336322,0.4909018,0.3447727],"study_design_scores_gemma":[0.00005242691,0.0001566779,0.001682736,0.0005239389,0.00006218746,0.000402625,0.0001237897,0.001062869,0.06776678,0.003648446,0.9244362,0.00008136364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.02489611,0.01888813,0.137126,0.001903663,0.005455317,0.003486439,0.0992057,0.009325122,0.6997135],"genre_scores_gemma":[0.1492334,0.02237643,0.134761,0.003285534,0.0007948038,0.003500621,0.1847237,0.004843709,0.4964809],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.09138157,"threshold_uncertainty_score":0.3057019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489431862435219,"score_gpt":0.2330578833613714,"score_spread":0.2081635647370192,"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."}}