{"id":"W7018947240","doi":"","title":"Étude de l'asclépiade pour des applications de régénération osseuses","year":2019,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Centre québécois sur les matériaux fonctionnels","keywords":"Densitometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006958533,0.0004538184,0.0003019929,0.0006341357,0.0002777393,0.0004849427,0.0002037255,0.0005276119,0.003482534],"category_scores_gemma":[0.0004100362,0.0001361492,0.0003500861,0.0003627683,0.0003270757,0.0002991736,0.0002000093,0.0003843207,0.000693062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004992975,"about_ca_system_score_gemma":0.0005235703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001540684,"about_ca_topic_score_gemma":0.003490149,"domain_scores_codex":[0.9996878,0.00006079103,0.00001023458,0.00005482325,0.0001583091,0.0000281445],"domain_scores_gemma":[0.9996368,0.0001218275,0.00006078207,0.00002445415,0.0001020284,0.00005413721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004135609,0.0001304402,0.0004778031,0.0003716577,0.00001514427,0.0001384203,0.00008277113,0.0002798112,0.9623805,0.0001541878,0.0001739425,0.0353818],"study_design_scores_gemma":[0.00007672861,0.005842098,0.014354,0.000115733,0.0001070036,0.001060225,0.0001255639,0.001612095,0.9359713,0.000169806,0.04054331,0.00002204303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9333254,0.03953208,0.01480617,0.0003168517,0.0002024322,0.000315437,0.0003464327,0.0001461494,0.0110091],"genre_scores_gemma":[0.9475462,0.01244712,0.01519493,0.0001534878,0.00006540509,0.0002118109,0.0003451968,0.0000512122,0.02398467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003482534,"threshold_uncertainty_score":0.0116502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008398827530401,"score_gpt":0.2025079829913978,"score_spread":0.1924239947160938,"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."}}