{"id":"W3121339101","doi":"10.2139/ssrn.2149612","title":"Shale Gas Development and Property Values: Differences Across Drinking Water Sources","year":2012,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Groundwater; Lease; Externality; Capitalization; Property value; Natural resource economics; Economic rent; Business; Water resource management; Environmental science; Economics; Real estate; Geology; Finance; Microeconomics","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":[0.0002507434,0.0001248374,0.0002352843,0.0004652543,0.0001979442,0.0008800493,0.0002590236,0.0003490481,0.004745401],"category_scores_gemma":[0.002296443,0.0001388724,0.0003934669,0.001505036,0.0003203648,0.0007623531,0.0007534752,0.0003050879,0.0005119199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003470597,"about_ca_system_score_gemma":0.0002683687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02325869,"about_ca_topic_score_gemma":0.02893355,"domain_scores_codex":[0.9997792,0.00004615176,0.00001397403,0.00006187549,0.00004649333,0.00005241803],"domain_scores_gemma":[0.9985329,0.0006090699,0.0003602847,0.0001044523,0.0002025201,0.0001907552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002874241,0.00004906412,0.9920505,0.00001420802,0.000117111,0.00005808262,0.0005174752,0.0003500598,0.001092474,0.0004137041,0.0001836552,0.004866314],"study_design_scores_gemma":[0.000001932608,0.00002096438,0.9981731,0.000002641254,0.00001958067,0.00001896503,0.0007843612,0.0002437002,0.0002228054,0.0002346934,0.0002744838,0.00000265963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981232,0.00009684839,0.0001266071,0.00007502043,0.000002608281,0.000001791755,0.0003727052,0.000002359721,0.001198863],"genre_scores_gemma":[0.9990043,0.00005550452,0.00003217021,0.000007441104,0.000002729588,0.000001000654,0.0003238802,0.000003497217,0.0005694918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02325869,"threshold_uncertainty_score":0.04624659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032933079950229,"score_gpt":0.2106282602518005,"score_spread":0.2002989294522982,"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."}}