{"id":"W1506534936","doi":"10.2139/ssrn.1375627","title":"Water Use, Shadow Prices and the Canadian Business Sector Productivity Performance","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Shadow (psychology); Natural resource economics; Water use; Business; Water sector; Agricultural economics; Economics; Business sector; Industrial organization; Environmental science; Macroeconomics; Economy; Water supply; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00174554,0.0001415392,0.0002478587,0.0001690492,0.0005900468,0.0002439235,0.000223242,0.00007466065,0.00002386923],"category_scores_gemma":[0.00007216517,0.00009737613,0.00005717891,0.0001275863,0.0001591245,0.0007215355,0.00003288894,0.0008645296,0.000136829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075044,"about_ca_system_score_gemma":0.000581307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07519487,"about_ca_topic_score_gemma":0.2943646,"domain_scores_codex":[0.9978004,0.00001257711,0.0003141346,0.0002444721,0.00002685486,0.001601608],"domain_scores_gemma":[0.9995339,0.00001611107,0.0001362319,0.0001743371,0.00003080019,0.0001086484],"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":[0.00005368179,0.00002005399,0.03733725,0.00001315527,0.00009282571,9.140522e-7,0.0005874833,0.000193918,0.000005270226,0.9610244,0.00002980785,0.0006412375],"study_design_scores_gemma":[0.001447401,0.00005394518,0.1060859,0.000008166789,0.000008068785,0.0002700668,0.00005679171,0.0001249503,0.00007116311,0.8861727,0.005478094,0.0002227031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809178,0.001135871,0.0001787066,0.01150447,0.0002599876,0.0001534181,0.000009975503,0.00001091241,0.005828829],"genre_scores_gemma":[0.9977568,0.0007977942,0.00002248578,0.0003524943,0.0004354498,0.000008075819,0.000002677549,0.00001889763,0.0006053014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2191697,"threshold_uncertainty_score":0.9309635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655807751466722,"score_gpt":0.1742924871480289,"score_spread":0.1577344096333617,"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."}}