{"id":"W6910277118","doi":"10.4224/crm.2015.migs-1","title":"MIGS-1: Mixed Ginsenoside Certified Reference Material","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":"Certified reference materials; Calibration; Fraction (chemistry); Mass fraction; Certification","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":[0.0001741437,0.0008874608,0.0008636918,0.0004413375,0.00007301602,0.001015307,0.0008638666,0.0009069155,0.0007332643],"category_scores_gemma":[0.000341149,0.0008610542,0.0001797474,0.0002541123,0.0003225754,0.0004230711,0.0003552428,0.0004162371,0.01975667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007896274,"about_ca_system_score_gemma":0.0007838238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006989063,"about_ca_topic_score_gemma":0.0002351572,"domain_scores_codex":[0.9955221,0.0001259776,0.0006830425,0.001128901,0.001777275,0.000762736],"domain_scores_gemma":[0.9968212,0.00004261248,0.0007020751,0.001560346,0.000359039,0.0005146849],"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":[0.0002026902,0.0001634132,0.00006177949,0.0000958131,0.0001698964,0.0003113702,0.00002982904,4.300809e-7,0.008280921,0.00005796245,0.9895715,0.001054431],"study_design_scores_gemma":[0.0004870504,0.000115031,0.0001226984,0.0004032255,0.00008399202,0.0001726108,0.00002896102,0.000001767036,0.005051821,0.0001156809,0.9924467,0.0009704145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00150027,0.0004695938,0.000002134065,0.000007496304,0.005258796,0.0005312769,0.003492578,0.00224509,0.9864928],"genre_scores_gemma":[0.03877942,0.000004520441,0.0001075209,0.00002405312,0.00219632,0.00006670444,0.001376937,0.002703729,0.9547408],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03727915,"threshold_uncertainty_score":0.999384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03292586541325537,"score_gpt":0.2429836309850096,"score_spread":0.2100577655717542,"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."}}