{"id":"W2186794832","doi":"","title":"Real-time Lookahead Control Policies","year":2002,"lang":"en","type":"article","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Sequence (biology); Quality (philosophy); State (computer science); Abstraction; Control (management); Action (physics); Artificial intelligence; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001005847,0.00008581854,0.0001498233,0.00006076584,0.00010958,0.0001530277,0.0004099158,0.00002735011,0.001481794],"category_scores_gemma":[0.0000148448,0.00006631949,0.00008384819,0.0002680519,0.00002909121,0.000286157,0.00008036475,0.00004050353,0.001289459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001257967,"about_ca_system_score_gemma":0.000004061397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002275741,"about_ca_topic_score_gemma":0.000007900994,"domain_scores_codex":[0.9992328,0.00002122675,0.0001613353,0.0001919872,0.0001458533,0.0002467998],"domain_scores_gemma":[0.9994328,0.00004694417,0.00004764897,0.0003581125,0.00004093276,0.00007354646],"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":[0.000006675375,0.0002446631,0.002773581,0.00001430976,0.0002230016,0.00004931961,0.002692862,0.001122729,0.01919386,0.6183219,0.1147625,0.2405946],"study_design_scores_gemma":[0.0002636252,0.00006687242,0.001145552,0.00000454361,0.00001028573,0.00001431556,0.00002205561,0.9840828,0.000343537,0.0005723148,0.01329655,0.0001775105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0166555,0.0001417379,0.2103785,0.005926285,0.0001091448,0.0001149235,0.00000239883,0.0006555488,0.7660159],"genre_scores_gemma":[0.9358095,0.00003391152,0.01937462,0.0006101006,0.0001126712,0.000003493725,5.197683e-7,0.000007736735,0.04404746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9829601,"threshold_uncertainty_score":0.9994882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415349440211111,"score_gpt":0.2071524568121235,"score_spread":0.1929989624100124,"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."}}