{"id":"W117603095","doi":"","title":"Context-driven predictions","year":2007,"lang":"en","type":"article","venue":"International Joint Conference on Artificial Intelligence","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Observable; Computer science; Partially observable Markov decision process; Context (archaeology); Markov model; Markov process; Markov decision process; Hidden Markov model; Simple (philosophy); Markov chain; Abstraction; Hidden semi-Markov model; Context model; Maximum-entropy Markov model; Artificial intelligence; Theoretical computer science; Variable-order Markov model; Machine learning; Algorithm; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001708102,0.0008953038,0.0009205012,0.0013089,0.000726536,0.001591752,0.001942323,0.00154195,0.008875599],"category_scores_gemma":[0.01329319,0.0005265212,0.0008591867,0.001096991,0.0006398332,0.003313997,0.001564817,0.001833492,0.001562103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008494359,"about_ca_system_score_gemma":0.001322576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005369346,"about_ca_topic_score_gemma":0.008428254,"domain_scores_codex":[0.99901,0.0003055655,0.00004918797,0.0002470808,0.0002877424,0.0001004338],"domain_scores_gemma":[0.9953311,0.00339197,0.0001809403,0.0004644161,0.0004754938,0.0001561134],"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":[0.0003003574,0.000141379,0.005686581,0.0002431168,0.0001207923,0.0005368058,0.0003369306,0.6009703,0.002001404,0.1825176,0.01255796,0.1945868],"study_design_scores_gemma":[0.00001404267,0.00001493557,0.0003307444,0.00002735935,0.0000186686,0.00004635904,0.00003008874,0.8877036,0.0005563268,0.1091758,0.002066026,0.00001603133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03681626,0.001094185,0.943491,0.001498804,0.0003136349,0.00018131,0.001125474,0.002107812,0.01337141],"genre_scores_gemma":[0.8028067,0.0009775108,0.1883543,0.0004277804,0.0002174528,0.0002118964,0.001432652,0.000225473,0.005346203],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008875599,"threshold_uncertainty_score":0.02969187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1336036417609611,"score_gpt":0.3360765873948148,"score_spread":0.2024729456338537,"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."}}