{"id":"W7061343661","doi":"","title":"Reinforcement Learning for Determining Spread Dynamics of Spatially Spreading Processes with Emphasis on Forest Fires","year":2018,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Set (abstract data type); Process (computing); Resource (disambiguation); Domain (mathematical analysis); Function (biology); Markov decision process; Markov process; Markov chain","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":[0.001735348,0.0006497168,0.0007570498,0.0005635789,0.000292074,0.0007020346,0.001093288,0.0009135054,0.001500949],"category_scores_gemma":[0.00944843,0.000401382,0.0004827857,0.000298491,0.001020205,0.000969418,0.0009183835,0.00135462,0.0001731587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380186,"about_ca_system_score_gemma":0.0009326604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008808028,"about_ca_topic_score_gemma":0.006016115,"domain_scores_codex":[0.9995875,0.0001904981,0.0000194067,0.00009450905,0.00005897092,0.00004907055],"domain_scores_gemma":[0.995012,0.004005598,0.0003632267,0.0001480438,0.0002826723,0.0001884685],"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":[0.00002795914,0.00002074876,0.0008594411,0.00001490152,0.00001187151,0.00002114347,0.00001389394,0.9875466,0.0002751026,0.004062018,0.0001338589,0.007012477],"study_design_scores_gemma":[0.000002327614,0.000004955391,0.00004680513,0.000001288353,8.432993e-7,0.000001369377,0.000001147344,0.9983487,0.00007058883,0.00149061,0.00003026561,0.000001141834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1103075,0.0003476129,0.8860974,0.0003824273,0.00004695013,0.0000729305,0.00007969313,0.0003689126,0.002296605],"genre_scores_gemma":[0.9297463,0.0001673045,0.06766813,0.00009055905,0.00003872891,0.00009207687,0.0001067465,0.00004160096,0.002048593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008808028,"threshold_uncertainty_score":0.01751351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009672697337612035,"score_gpt":0.2263312513353118,"score_spread":0.2166585539976997,"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."}}