{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002602255,0.0009448801,0.001554847,0.001338338,0.00163338,0.002798897,0.001193898,0.002268075,0.006304932],"category_scores_gemma":[0.01708818,0.0008737692,0.0009792205,0.001550231,0.002529395,0.003286141,0.002085705,0.003744789,0.001556125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002245378,"about_ca_system_score_gemma":0.001786059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01479304,"about_ca_topic_score_gemma":0.006004005,"domain_scores_codex":[0.998708,0.0005333199,0.00004709632,0.0002373817,0.0003585957,0.0001155934],"domain_scores_gemma":[0.990907,0.007526357,0.0002331339,0.0002782679,0.0007593529,0.0002958998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001050532,0.00004486142,0.001441578,0.0001635728,0.00007315681,0.0001903308,0.0003436662,0.04467867,0.0006312255,0.9230848,0.009327631,0.01991538],"study_design_scores_gemma":[0.00004162835,0.00003883317,0.0005601958,0.00006992244,0.00004220941,0.0001596443,0.00006587494,0.2618666,0.0008737213,0.7051873,0.03101428,0.00007972648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04420852,0.03779433,0.8364013,0.02595454,0.0036125,0.00009495915,0.0003520514,0.0004984656,0.05108322],"genre_scores_gemma":[0.6834936,0.03559506,0.173996,0.002414272,0.003735999,0.0002994967,0.0004575825,0.0004433397,0.0995646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01479304,"threshold_uncertainty_score":0.02941388,"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."}}