{"id":"W7104471851","doi":"10.71781/17396","title":"Développement d'applicateurs personnalisés pour la curiethérapie gynécologique","year":2023,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decision system; ESPACE; Statistical analysis","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":[0.001731392,0.0005281556,0.0004385942,0.0005978146,0.0006254704,0.001065347,0.0005635528,0.0008064113,0.007557323],"category_scores_gemma":[0.002187428,0.0004090522,0.0007654283,0.0005353617,0.0003972288,0.0005004341,0.000582835,0.0005506665,0.002898174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000778558,"about_ca_system_score_gemma":0.001319055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00461338,"about_ca_topic_score_gemma":0.00628921,"domain_scores_codex":[0.9986225,0.0002744838,0.00005386824,0.0003381764,0.0005666685,0.0001442384],"domain_scores_gemma":[0.9985002,0.000347229,0.0001853233,0.0002065478,0.0006404112,0.0001202447],"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":[0.0005223413,0.0004098131,0.008593936,0.0008942716,0.00007091238,0.0004300506,0.001337768,0.001350532,0.6604053,0.001042005,0.0036801,0.3212629],"study_design_scores_gemma":[0.0001018247,0.004998105,0.04850913,0.0002599498,0.0002931585,0.002197986,0.0008843201,0.005432317,0.6143769,0.0003987456,0.3224127,0.0001349309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7523036,0.01739185,0.1768475,0.001245428,0.0007767614,0.002297423,0.001401532,0.002457238,0.04527866],"genre_scores_gemma":[0.7180937,0.01243155,0.1793927,0.0009810244,0.0001910735,0.002559541,0.002099936,0.000670216,0.0835803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007557323,"threshold_uncertainty_score":0.02528179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408252845072835,"score_gpt":0.2335837624743659,"score_spread":0.2195012340236376,"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."}}