{"id":"W7071232627","doi":"","title":"Simulation probabiliste du problÃ¨me de contact mÃ©canique","year":2009,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homogeneous; Agrégation; Probability theory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009652646,0.0007556072,0.001312816,0.0007166113,0.0008777823,0.002652647,0.001225918,0.002259685,0.01032148],"category_scores_gemma":[0.005274357,0.0006090672,0.001404209,0.0009011793,0.001654931,0.002304211,0.001644138,0.002342314,0.001111606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718625,"about_ca_system_score_gemma":0.001792631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01478559,"about_ca_topic_score_gemma":0.006758462,"domain_scores_codex":[0.9993547,0.0002006364,0.0000276267,0.0001336646,0.0001710544,0.0001123627],"domain_scores_gemma":[0.9972383,0.001912628,0.0002139876,0.0001634185,0.0003406078,0.0001310875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001381945,0.00003018231,0.001445948,0.0001186548,0.00004041756,0.0001486159,0.0001659142,0.8894074,0.001654982,0.1006677,0.001065133,0.00511686],"study_design_scores_gemma":[0.00001080057,0.00001056992,0.0001454263,0.000008920588,0.000004494696,0.00001431641,0.00001987784,0.9913516,0.000350585,0.007314007,0.0007598487,0.000009595875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1304684,0.001291384,0.8181072,0.002162182,0.0004767312,0.0001185049,0.0007638286,0.0007764205,0.04583535],"genre_scores_gemma":[0.9094112,0.001270176,0.0395211,0.0003148293,0.0001533346,0.0004498549,0.0007114449,0.0002411935,0.04792684],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01478559,"threshold_uncertainty_score":0.03452873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003276463804282723,"score_gpt":0.149092464883789,"score_spread":0.1458160010795063,"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."}}