{"id":"W3124774000","doi":"10.2139/ssrn.3111819","title":"Human Judgment and AI Pricing","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Business; Economics; Computer science; Artificial intelligence","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":[0.002327947,0.0002137819,0.000251974,0.0007600333,0.0004907977,0.003965992,0.0003965616,0.001523754,0.01394412],"category_scores_gemma":[0.03115357,0.0001566621,0.0002031847,0.0007669393,0.001775102,0.00276802,0.0006284907,0.001259022,0.001005031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025028,"about_ca_system_score_gemma":0.0006642482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005305739,"about_ca_topic_score_gemma":0.002599445,"domain_scores_codex":[0.9987164,0.0006808961,0.00003968563,0.0001384544,0.0002991436,0.0001254222],"domain_scores_gemma":[0.986515,0.01008073,0.0007333292,0.000711627,0.001228043,0.0007313373],"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":[0.000527385,0.0006515261,0.02859451,0.0002057828,0.0001473059,0.0007065271,0.00481922,0.0131228,0.002367982,0.8079332,0.01484232,0.1260815],"study_design_scores_gemma":[0.00002994064,0.00006674461,0.01918834,0.00002146985,0.00002438904,0.0001923273,0.001049865,0.02486441,0.0002978098,0.9484532,0.005780431,0.00003103942],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.622734,0.002885096,0.0392775,0.01375953,0.0004378604,0.00004921478,0.0002073843,0.0001316488,0.3205177],"genre_scores_gemma":[0.994094,0.000250689,0.0008924142,0.0002843433,0.0001103739,0.000004762421,0.00003199261,0.00001353253,0.004318004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01394412,"threshold_uncertainty_score":0.04664773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147772717471349,"score_gpt":0.2239909356509892,"score_spread":0.2092136639038543,"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."}}