{"id":"W2165732597","doi":"","title":"A Graphical Depiction of Hicksian Partial-Equilibrium Welfare Analysis","year":2003,"lang":"en","type":"preprint","venue":"Carleton University's Institutional Repository (MacOdrum Library, Carleton University)","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Depiction; Partial equilibrium; Scope (computer science); sort; Economics; Welfare; Mathematical economics; Construct (python library); Variation (astronomy); Microeconomics; Economic surplus; Econometrics; Computer science; General equilibrium theory","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002683155,0.0007052356,0.001583454,0.003134213,0.0007600994,0.0001592551,0.001407398,0.001113171,0.0005292504],"category_scores_gemma":[0.00003297288,0.001041479,0.001764765,0.00191356,0.0009701044,0.001525348,0.001238125,0.001007163,0.00002712364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018784,"about_ca_system_score_gemma":0.0007260768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040224,"about_ca_topic_score_gemma":0.00003433406,"domain_scores_codex":[0.9961596,0.0002338427,0.001019714,0.001731995,0.0001965249,0.0006583274],"domain_scores_gemma":[0.9965445,0.00007841735,0.001418148,0.001283635,0.0001602698,0.0005150242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000330447,0.0002041436,0.03058186,0.0001978181,0.002486763,0.0005782682,0.000282711,0.02711967,0.0001108904,0.9373152,0.000747812,0.00004439659],"study_design_scores_gemma":[0.002932645,0.0002336545,0.01317868,0.0002047504,0.002487103,0.00006731053,0.001960132,0.005682564,0.00162331,0.008485125,0.9605817,0.002562988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.57208,0.001052779,0.01427445,0.001042785,0.003574907,0.0006704555,0.002369616,0.0003315114,0.4046035],"genre_scores_gemma":[0.9771842,0.0005154219,0.000651854,0.00010146,0.0002450485,0.000001427026,0.0006562033,0.00005821963,0.02058619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9598339,"threshold_uncertainty_score":0.9992036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210235522536096,"score_gpt":0.1655765498383644,"score_spread":0.1534741946130034,"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."}}