{"id":"W6966508180","doi":"10.4224/crm.2024.cbgn-1","title":"CBGN-1: Cannabigerol Calibration Solution Certified Reference Material","year":2024,"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; Fraction (chemistry); Mass fraction; Certified reference materials; Analytical Chemistry (journal); Impurity; Standard uncertainty","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":[0.002317562,0.001704742,0.0009107089,0.004310697,0.001396696,0.00119419,0.004078171,0.001665791,0.1020819],"category_scores_gemma":[0.005333931,0.0007232857,0.0004995436,0.002943783,0.0008125443,0.001078308,0.00141015,0.001478591,0.0829919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403437,"about_ca_system_score_gemma":0.002674648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003675249,"about_ca_topic_score_gemma":0.008485769,"domain_scores_codex":[0.9929653,0.0007787049,0.0001787859,0.0009639668,0.004883257,0.0002300002],"domain_scores_gemma":[0.9982135,0.0001681651,0.0001124228,0.0002185576,0.001209096,0.00007815044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009459392,0.0008545783,0.002681525,0.001804089,0.000090243,0.0004600811,0.0002563955,0.001518723,0.4071239,0.01047085,0.3544596,0.2193341],"study_design_scores_gemma":[0.00015355,0.0002053706,0.003387308,0.0003263962,0.00006050946,0.0007174273,0.00008265238,0.00316241,0.303959,0.002023906,0.6858231,0.00009840369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.057909,0.007200791,0.2592928,0.002359623,0.002751661,0.006642137,0.095341,0.04579513,0.5227078],"genre_scores_gemma":[0.1333274,0.006152189,0.2266297,0.003370672,0.0004315609,0.004254772,0.1486071,0.007629773,0.4695968],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1020819,"threshold_uncertainty_score":0.3414978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231113415307375,"score_gpt":0.2438290190840816,"score_spread":0.2215178849310079,"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."}}