{"id":"W6891585235","doi":"10.4224/crm.2021.dorm-5","title":"DORM-5: Fish Protein Certified Reference Material","year":2021,"lang":"en","type":"other","venue":"NRC Digital Repository","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Fish <Actinopterygii>; Certified reference materials; Certification; National standard; Trace element","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002812668,0.001263717,0.0008655211,0.004208656,0.001238101,0.001424075,0.004193491,0.001657592,0.07671297],"category_scores_gemma":[0.005593154,0.0004519758,0.0004793317,0.00352512,0.0006848893,0.001340559,0.001523561,0.0008564603,0.08923916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670991,"about_ca_system_score_gemma":0.003322916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02752824,"about_ca_topic_score_gemma":0.04128122,"domain_scores_codex":[0.997136,0.0002578655,0.0001414151,0.0004116982,0.001888934,0.0001640904],"domain_scores_gemma":[0.9969761,0.0001566496,0.0001700889,0.000399506,0.002172166,0.0001254107],"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":[0.001104045,0.0003617484,0.004492316,0.001462741,0.00006221783,0.0003918916,0.0001370453,0.001908267,0.09181929,0.01456049,0.7035229,0.1801771],"study_design_scores_gemma":[0.00007057041,0.0002112708,0.005692004,0.0003337329,0.00003264691,0.0003130547,0.00007808557,0.001827761,0.05604914,0.002979827,0.9323331,0.00007886871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03754788,0.005254061,0.1272496,0.001933829,0.001701671,0.001611065,0.4701377,0.02188576,0.3326783],"genre_scores_gemma":[0.07940756,0.00357601,0.1073875,0.001477697,0.0002223596,0.001329319,0.5129477,0.006233586,0.2874183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07671297,"threshold_uncertainty_score":0.2566304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695387306155118,"score_gpt":0.2156722051614445,"score_spread":0.1987183320998933,"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."}}