{"id":"W3212384530","doi":"10.48550/arxiv.2112.03097","title":"Flexible Option Learning","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","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":[0.001321952,0.00075078,0.0009875398,0.0005311113,0.0005241965,0.001376504,0.002151413,0.001246848,0.008675936],"category_scores_gemma":[0.007519245,0.0004769592,0.0009518829,0.0008415896,0.001176091,0.003556723,0.002392747,0.002517001,0.001105302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008338252,"about_ca_system_score_gemma":0.001405483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002373653,"about_ca_topic_score_gemma":0.003819115,"domain_scores_codex":[0.9993892,0.00021654,0.00003684564,0.000158983,0.0001362355,0.00006221673],"domain_scores_gemma":[0.998035,0.001078236,0.0001649628,0.0004331418,0.0001594943,0.0001290506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002525517,0.0001290336,0.002579721,0.0001609876,0.0001013581,0.0002277943,0.0001466858,0.5930929,0.003020402,0.1902402,0.007789339,0.2022591],"study_design_scores_gemma":[0.00001606716,0.00002039478,0.0001183901,0.00001243684,0.000008219055,0.00003814774,0.000008934267,0.9255155,0.0005684739,0.07216932,0.001513463,0.00001066996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01061914,0.0002961439,0.9844733,0.0002654359,0.00006522608,0.000052705,0.0002381563,0.0005114401,0.003478416],"genre_scores_gemma":[0.6271489,0.0004264304,0.3630803,0.0003677303,0.00008181231,0.0002902424,0.0007780353,0.0002218191,0.007604681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008675936,"threshold_uncertainty_score":0.02902389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05947852611357756,"score_gpt":0.1889554687564095,"score_spread":0.129476942642832,"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."}}