{"id":"W2904859299","doi":"","title":"Employment and Compensation in the Marcellus Shale Gas Boom:What Stays Local?","year":2018,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boom; Natural resource; Compensation (psychology); Resource curse; Economics; Natural resource economics; Business; Labour economics; Development economics; Public economics; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000759148,0.00009806242,0.0001181502,0.000008397754,0.0003585299,0.00005521453,0.0002093139,0.00003043963,0.0001297542],"category_scores_gemma":[0.000004497232,0.00006307344,0.00001688294,0.00006739893,0.0003666378,0.0002736581,0.0002606281,0.000307603,0.00001104337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001740701,"about_ca_system_score_gemma":0.000008467922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002988692,"about_ca_topic_score_gemma":0.0003701885,"domain_scores_codex":[0.9991106,0.0002028057,0.0002575765,0.00004398444,0.0002465618,0.000138512],"domain_scores_gemma":[0.9996461,0.00006242393,0.0001164953,0.0001057394,0.000005358526,0.00006393567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001091756,0.0003693087,0.1654947,0.00001232982,0.00003008189,0.00001402688,0.04633547,0.0006377348,0.0003820854,0.00003572377,0.0002305799,0.7863488],"study_design_scores_gemma":[0.0004819253,0.0003735198,0.9378476,0.00007222601,0.0000109214,0.0001623156,0.05309032,0.0008080639,0.0001251976,0.0007118282,0.006182652,0.0001334673],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971009,0.0001606175,0.001599809,0.0005921368,0.00004910275,0.00007836043,1.274845e-7,0.000002337308,0.0004165883],"genre_scores_gemma":[0.9955497,0.0005943805,0.003190684,0.00052274,0.00001324739,0.000001755389,0.000001154767,0.000004370685,0.0001220061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7862154,"threshold_uncertainty_score":0.2757559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315068856283177,"score_gpt":0.2117329644458623,"score_spread":0.1985822758830305,"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."}}