{"id":"W7107888439","doi":"","title":"Etat des connaissances sur les approches existantes pour la prise en compte des mélanges - Réflexion pour l’élaboration de valeurs de référence","year":2022,"lang":"fr","type":"report","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Order (exchange); State (computer science); Limiting; Interpretation (philosophy)","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":[0.1711422,0.001814655,0.001831218,0.007671804,0.006465279,0.0313622,0.003633467,0.01232315,0.04875037],"category_scores_gemma":[0.3176252,0.001285072,0.002630921,0.008719554,0.009255276,0.03114251,0.009657246,0.01741296,0.01680272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02395974,"about_ca_system_score_gemma":0.05190194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0327373,"about_ca_topic_score_gemma":0.0208241,"domain_scores_codex":[0.790763,0.09385696,0.01359638,0.009340552,0.08658461,0.005858397],"domain_scores_gemma":[0.4861269,0.2303648,0.01623327,0.02368679,0.2314071,0.01218124],"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":[0.001079866,0.0003405841,0.003507536,0.006706055,0.0002255731,0.0003803382,0.01888674,0.0008044326,0.00191826,0.2580503,0.4768012,0.2312992],"study_design_scores_gemma":[0.0001448547,0.0003259065,0.00448179,0.01231754,0.0001934303,0.0002626168,0.01270057,0.0005196486,0.002024008,0.03703725,0.9298786,0.0001137309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.008941793,0.1349691,0.01381147,0.577879,0.02839022,0.0008999608,0.002725765,0.0005268644,0.2318559],"genre_scores_gemma":[0.3476081,0.1630627,0.06410827,0.1717095,0.01711767,0.005688405,0.008263803,0.002044973,0.2203966],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1711422,"threshold_uncertainty_score":0.9050971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05646346305798005,"score_gpt":0.2805783717532044,"score_spread":0.2241149086952244,"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."}}