{"id":"W7128559011","doi":"","title":"FEBS-1 : Matériau de référence certifié d'otolithe pour les métaux à l'état de traces","year":2005,"lang":"","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRACE (psycholinguistics); Certification; Research council; Trace element; Element (criminal law)","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":[0.002490578,0.001457538,0.0009676845,0.006069641,0.002057787,0.001801686,0.002728698,0.001863951,0.03918913],"category_scores_gemma":[0.005016881,0.0006048915,0.0006523221,0.002566886,0.0008640017,0.001288634,0.001412048,0.0008566056,0.03620651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002082101,"about_ca_system_score_gemma":0.004648078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01694752,"about_ca_topic_score_gemma":0.02364071,"domain_scores_codex":[0.9966581,0.0001638015,0.0001583353,0.0003801971,0.002490524,0.0001489748],"domain_scores_gemma":[0.9975355,0.0002049595,0.0002337512,0.0004172724,0.001490283,0.0001182826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000765102,0.0001645645,0.004604938,0.00173908,0.00006087974,0.0007137632,0.0003424934,0.001080754,0.2801947,0.01273577,0.3132264,0.3843715],"study_design_scores_gemma":[0.0000717849,0.0001572722,0.009186321,0.0001658259,0.0000514203,0.0006485804,0.0001277029,0.0008960332,0.1501475,0.002318524,0.8361685,0.0000605229],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.08884439,0.01472081,0.2173066,0.002783047,0.004818597,0.001653605,0.1259181,0.02684335,0.5171114],"genre_scores_gemma":[0.1841185,0.007470713,0.1919301,0.001364897,0.0005440642,0.001057004,0.1334274,0.008281349,0.4718058],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03918913,"threshold_uncertainty_score":0.1311007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08279053257645125,"score_gpt":0.351883421426664,"score_spread":0.2690928888502127,"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."}}