{"id":"W7128569287","doi":"","title":"SKIM-1 : Matériau de référence certifié de lait écrémé en poudre pour les métaux à l’état de trace et les minéraux","year":2020,"lang":"","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Skimmed milk; TRACE (psycholinguistics); Certified reference materials; National standard; Trace metal; Milk products","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002939058,0.001397073,0.000911669,0.00400241,0.00155318,0.001675518,0.001898857,0.002115268,0.03483526],"category_scores_gemma":[0.002965392,0.0006093633,0.0006478686,0.001369693,0.0008458614,0.001300948,0.001526419,0.00100951,0.03566726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613991,"about_ca_system_score_gemma":0.002943055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006577232,"about_ca_topic_score_gemma":0.01034702,"domain_scores_codex":[0.9965315,0.0002802988,0.0001437783,0.0005434807,0.00232584,0.0001752313],"domain_scores_gemma":[0.9982225,0.0001530198,0.000203273,0.0002634733,0.001070981,0.00008679822],"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":[0.001364408,0.0002074519,0.002959975,0.002733166,0.00008693027,0.0005124474,0.0004858941,0.0008713002,0.4406749,0.02322133,0.1757332,0.3511489],"study_design_scores_gemma":[0.00007211093,0.0002061631,0.002536697,0.0002336192,0.00005589045,0.000820486,0.0001015493,0.001055016,0.253529,0.001129632,0.7402123,0.00004757854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.1261127,0.03634012,0.1999711,0.002717191,0.003334601,0.001676266,0.03825966,0.03412175,0.5574666],"genre_scores_gemma":[0.300962,0.009055697,0.141029,0.001789182,0.0005815479,0.001019095,0.05352144,0.007312848,0.4847291],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03483526,"threshold_uncertainty_score":0.1165355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08316021972003122,"score_gpt":0.352221099116923,"score_spread":0.2690608793968917,"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."}}