{"id":"W2333014926","doi":"10.3982/te992","title":"Expressible inspections","year":2013,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Computability; Probabilistic logic; Test (biology); Outcome (game theory); Computer science; Realization (probability); Process (computing); Computable analysis; Conditional probability; Mathematical economics; Artificial intelligence; Mathematics; Theoretical computer science; Statistics; Programming language","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":[0.007642275,0.0009784148,0.001090454,0.001593676,0.001634386,0.005385163,0.003053199,0.003052208,0.01987616],"category_scores_gemma":[0.04478269,0.0008276847,0.001966636,0.001924821,0.005736844,0.01138966,0.003834734,0.003702189,0.00266113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003787314,"about_ca_system_score_gemma":0.00253974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004061696,"about_ca_topic_score_gemma":0.003159988,"domain_scores_codex":[0.9920805,0.002475957,0.0008154566,0.001600257,0.002064324,0.0009635377],"domain_scores_gemma":[0.9766643,0.01248345,0.001636221,0.005648883,0.003091926,0.0004750682],"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":[0.000049528,0.0000351835,0.000554484,0.00006654686,0.00001466137,0.0001361204,0.0002556689,0.00450814,0.0003801446,0.9820783,0.001901996,0.01001914],"study_design_scores_gemma":[0.00001793875,0.00001727327,0.000189878,0.00003638836,0.00001738327,0.00008814305,0.00008037128,0.02140792,0.0006697693,0.9702528,0.007205271,0.00001684147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05527057,0.0004185192,0.8036865,0.005141194,0.0001874601,0.0003349753,0.002213086,0.001892332,0.1308555],"genre_scores_gemma":[0.7422763,0.0005537551,0.2181805,0.0009668332,0.0002381926,0.0006144839,0.00177027,0.0003851963,0.03501442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01987616,"threshold_uncertainty_score":0.06649238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06724342768532615,"score_gpt":0.3867548502864182,"score_spread":0.319511422601092,"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."}}