{"id":"W2242727239","doi":"","title":"The Unconventional Boomtown: Updating the impact model to fit new spatial and temporal scales.","year":2014,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bust; Boom; Volatility (finance); Context (archaeology); Economics; Natural resource economics; Economic geography; Economy; Econometrics; Environmental science; Geography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002092169,0.0001134991,0.0001580373,0.00003796724,0.001341744,0.0001522642,0.0003600865,0.00004160356,0.00002043376],"category_scores_gemma":[0.0002815279,0.00005532205,0.00006296556,0.00008861593,0.0001115793,0.0001083143,0.0003289368,0.0005861343,0.00000210469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098746,"about_ca_system_score_gemma":0.0002819436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005285509,"about_ca_topic_score_gemma":0.003030552,"domain_scores_codex":[0.9985883,0.0004841852,0.0003419532,0.00004284923,0.0003111205,0.0002315519],"domain_scores_gemma":[0.9989749,0.0003345026,0.0001120998,0.0001663374,0.0001927729,0.0002194151],"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":[0.0004918151,0.0001203671,0.01206056,0.00002250299,0.0001596398,0.000002129973,0.005712137,0.01659809,0.00005859776,0.00878182,0.002329199,0.9536631],"study_design_scores_gemma":[0.003237907,0.001355162,0.5961518,0.0002809715,0.00004036539,0.0004045204,0.04116135,0.03557559,0.0003941096,0.2212583,0.09945106,0.0006888508],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993004,0.0001513793,0.001036959,0.004664849,0.00003807977,0.00006125493,6.615116e-7,0.000005038531,0.001037798],"genre_scores_gemma":[0.9982034,0.00003535024,0.000707026,0.0002008365,0.000068565,0.000002175422,0.000002094576,0.000005072025,0.0007754605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9529743,"threshold_uncertainty_score":0.9999584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893464007554959,"score_gpt":0.2989408699500675,"score_spread":0.2700062298745179,"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."}}