{"id":"W1509476878","doi":"10.5539/mas.v9n6p243","title":"Evaluations of Information Assymetry","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Object (grammar); Asymmetry; Information flow; Computer science; Set (abstract data type); Information asymmetry; Information exchange; State (computer science); Information retrieval; Artificial intelligence; Algorithm; Physics; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.03328799,0.001309389,0.001041999,0.01042466,0.001623831,0.006836457,0.001246206,0.001082259,0.004728968],"category_scores_gemma":[0.1408483,0.0005869032,0.001058578,0.005305779,0.007252213,0.01625885,0.006469328,0.001790514,0.0004408283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00468852,"about_ca_system_score_gemma":0.002332431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001185476,"about_ca_topic_score_gemma":0.0007640171,"domain_scores_codex":[0.9340876,0.03726104,0.003467861,0.003135707,0.0207811,0.001266783],"domain_scores_gemma":[0.873195,0.08756704,0.009164024,0.009464494,0.01913109,0.001478394],"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":[0.0002746026,0.0000574432,0.007412525,0.0006989547,0.0001946625,0.0001600833,0.00345146,0.01154612,0.001946769,0.8532185,0.001085636,0.1199532],"study_design_scores_gemma":[0.00004013421,0.0003436105,0.006752085,0.0007059778,0.0002220866,0.0004573142,0.004953551,0.05489634,0.007361739,0.9083239,0.01576367,0.0001795974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1021975,0.003311944,0.7920135,0.002670343,0.0002167617,0.0004618903,0.0004322665,0.0002408008,0.09845501],"genre_scores_gemma":[0.8746419,0.001214787,0.119543,0.0001785144,0.000131599,0.0005422282,0.0001799076,0.0001353916,0.003432746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03328799,"threshold_uncertainty_score":0.1760458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04884039003840677,"score_gpt":0.3036848946490222,"score_spread":0.2548445046106154,"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."}}