{"id":"W4206142240","doi":"10.1007/978-3-030-85254-2_1","title":"The Cobb-Douglas Production Function for an Exponential Model","year":2022,"lang":"en","type":"book-chapter","venue":"Contributions to economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Cobb–Douglas production function; CobB; Production (economics); Exponential function; Function (biology); Econometrics; Exponential growth; Economics; Mathematics; Mathematical economics; Microeconomics; Mathematical analysis","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":[0.001019531,0.001439062,0.0009168263,0.0008582674,0.0006321971,0.002170715,0.001062994,0.002506722,0.01344509],"category_scores_gemma":[0.003453248,0.0007445017,0.001046325,0.002152944,0.001622535,0.003463315,0.000681971,0.003340087,0.006342755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00224189,"about_ca_system_score_gemma":0.001609933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004626491,"about_ca_topic_score_gemma":0.003150443,"domain_scores_codex":[0.9996738,0.0001119153,0.0000197797,0.00007758982,0.00008896574,0.00002783291],"domain_scores_gemma":[0.9989884,0.0006727315,0.00004845284,0.00008793519,0.0001769379,0.0000254696],"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":[0.000009764944,0.00001848514,0.0001033225,0.0001135691,0.00001266817,0.00007756912,0.00006443905,0.01461068,0.0003003431,0.9380479,0.02270448,0.02393679],"study_design_scores_gemma":[0.000006575903,0.000007645507,0.0001866719,0.00006385779,0.00001083652,0.00009547616,0.0000202207,0.0194922,0.0001362909,0.903037,0.07692398,0.00001933366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004848721,0.04423353,0.7045144,0.008080259,0.003488354,0.00005852443,0.0009885883,0.0003622275,0.2334254],"genre_scores_gemma":[0.2675803,0.0684711,0.1981684,0.00194542,0.00585966,0.0002687265,0.001381243,0.0005605454,0.4557646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01344509,"threshold_uncertainty_score":0.04497838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05038844852339528,"score_gpt":0.2390524250347821,"score_spread":0.1886639765113868,"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."}}