{"id":"W7132917701","doi":"","title":"Essays in Econometrics, Industrial Organization, and Technology","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Artificial neural network; Bayesian probability; Structural estimation; Point (geometry); Supervisor; Bayesian network; Markov chain Monte Carlo; Revenue; Estimation","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":[0.004903493,0.001338318,0.00127937,0.002725478,0.001248404,0.003553044,0.0007621076,0.002474609,0.01726779],"category_scores_gemma":[0.01292299,0.0005471238,0.001144127,0.004945395,0.003847643,0.002989415,0.001185961,0.004294492,0.00502044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00322721,"about_ca_system_score_gemma":0.002947988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005195031,"about_ca_topic_score_gemma":0.004778811,"domain_scores_codex":[0.9980955,0.0008464987,0.0001177388,0.0002348751,0.0006046619,0.0001007565],"domain_scores_gemma":[0.9913657,0.006177888,0.0004499525,0.0007042345,0.0009723812,0.0003299847],"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":[0.00005723187,0.00008380423,0.002470145,0.0004511895,0.0001315141,0.0001133145,0.0005061846,0.00647471,0.0002232804,0.4786365,0.3634393,0.1474127],"study_design_scores_gemma":[0.00001953419,0.00003348183,0.002883618,0.0005927391,0.0000321773,0.0001008572,0.0003390305,0.004290452,0.0001004958,0.4148205,0.5767624,0.00002472466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.006635179,0.5002986,0.107422,0.1759966,0.02895666,0.00007002531,0.00122522,0.0003982545,0.1789976],"genre_scores_gemma":[0.1816589,0.4592864,0.04539872,0.01659141,0.04864844,0.0004268697,0.001766224,0.0006918366,0.2455312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01726779,"threshold_uncertainty_score":0.0577665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04805331813759627,"score_gpt":0.2583581557339089,"score_spread":0.2103048375963126,"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."}}