{"id":"W7034431252","doi":"","title":"Ãtude de la performance dâun algorithme Metropolis-Hastings avec ajustement\\ndirectionnel","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Art History and Market Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Markov chain Monte Carlo; Markov chain; Markov process; Monte Carlo method","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005095251,0.00047088,0.0005652995,0.00009206404,0.0009394997,0.00007757673,0.0003132844,0.00009409818,0.01032971],"category_scores_gemma":[0.000005673615,0.0004721362,0.0001101028,0.00005725343,0.0005905764,0.0004921241,0.0001817996,0.0003581003,8.975523e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006517991,"about_ca_system_score_gemma":0.001360464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02076205,"about_ca_topic_score_gemma":0.08867253,"domain_scores_codex":[0.9970527,0.0002434442,0.0004717999,0.0003577624,0.001251893,0.0006224005],"domain_scores_gemma":[0.9984673,0.0003750713,0.0004548516,0.0002604319,0.000001446972,0.0004409266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005260046,0.0002887973,0.02174838,0.002610255,0.002000963,0.0001187592,0.007125584,0.00008871961,0.0007689987,0.8361664,0.04880659,0.07975058],"study_design_scores_gemma":[0.0002869041,0.00007702924,0.006148346,0.0003288772,0.0003578638,0.00001335576,0.005628891,0.0021972,0.0009692567,0.0002043108,0.9832587,0.0005292568],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006261279,0.003027614,0.0001445393,0.0008597999,0.0009282709,0.0001713701,0.0003455328,0.00002251772,0.988239],"genre_scores_gemma":[0.3012319,0.001104337,0.0006729423,0.0005778568,0.0009481005,0.00001631688,0.00001762253,0.00009778185,0.6953331],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9344521,"threshold_uncertainty_score":0.999773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002733788726662835,"score_gpt":0.1316063390644946,"score_spread":0.1288725503378318,"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."}}