{"id":"W7097373451","doi":"","title":"JOSEPH ASSOURAMOU Processus de Markov étiquetés et Systèmes","year":2015,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Markov chain; Markov process; Term (time); Context (archaeology); Constraint (computer-aided design)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007849184,0.0001191549,0.000126452,0.00005433171,0.00004497917,0.0002847809,0.000731686,0.00008072457,0.0000111466],"category_scores_gemma":[0.0001243627,0.00009755301,0.00003424556,0.0002255731,0.00002175849,0.0004132034,0.0001792193,0.0001577033,0.0001136765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005857066,"about_ca_system_score_gemma":0.0004135508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001185327,"about_ca_topic_score_gemma":0.00002828122,"domain_scores_codex":[0.9988985,0.00009598897,0.0001568925,0.0002832754,0.0002608391,0.0003044919],"domain_scores_gemma":[0.9991108,0.0000498677,0.000048128,0.000360455,0.0001880131,0.0002427495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001732233,0.0001837463,0.002295594,0.00006718709,0.00003823636,0.00007594324,0.004301854,0.001194438,0.0005053472,0.8506408,0.05664323,0.08403628],"study_design_scores_gemma":[0.0006871854,0.0002503138,0.001544055,0.00009173923,0.00001346109,0.0001794946,0.0002615792,0.7394591,0.00366274,0.2475035,0.00565266,0.0006941454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008749176,0.0001314069,0.9326066,0.003177983,0.0001377904,0.00006424856,6.522982e-7,0.0004345374,0.05469759],"genre_scores_gemma":[0.8880166,0.000007547761,0.1085146,0.001623333,0.00003821797,0.00001271728,9.158561e-7,0.000007181193,0.00177891],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8792675,"threshold_uncertainty_score":0.3978097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04180352552546495,"score_gpt":0.2957070077752418,"score_spread":0.2539034822497769,"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."}}