{"id":"W2810356254","doi":"10.1177/2378023118783476","title":"Not in Your Backyard! Organizational Structure, Partisanship, and the Mobilization of Nonbeneficiary Constituents against “Fracking” in Illinois, 2013–2014","year":2018,"lang":"en","type":"article","venue":"Socius Sociological Research for a Dynamic World","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Mobilization; Beneficiary; Social mobilization; Social movement; Context (archaeology); Political science; Democracy; Resource mobilization; Politics; Organizational structure; Public administration; Political economy; Public relations; Sociology; Geography; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001524733,0.0001622069,0.0002798265,0.0000314509,0.0002715786,0.00001848947,0.0003066275,0.0001799871,0.0008211816],"category_scores_gemma":[0.0004317638,0.0001141033,0.00006897534,0.0004949795,0.004967903,0.0001030394,0.0003528431,0.0004277703,0.00002548385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004795817,"about_ca_system_score_gemma":0.0000335339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002990577,"about_ca_topic_score_gemma":0.00237932,"domain_scores_codex":[0.9978287,0.0003728377,0.0004005166,0.0004265576,0.000461378,0.000510074],"domain_scores_gemma":[0.9988218,0.0007748469,0.0001010334,0.0001901343,0.00003188659,0.00008031823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005118902,0.0002683768,0.9433387,0.00003489887,0.00003125002,0.000004484539,0.001702254,0.03182543,0.002540491,0.01548296,0.0005453313,0.003713916],"study_design_scores_gemma":[0.002631627,0.0002130545,0.6777059,0.00004828725,0.00001290901,0.000001854203,0.001627111,0.2264256,0.00007580395,0.09022704,0.0007097348,0.0003210717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955373,0.0001173777,0.001691012,0.0007513307,0.00005795908,0.0008542344,0.0000422226,0.00001580868,0.0009327461],"genre_scores_gemma":[0.995621,0.0004132507,0.003246314,0.0002728729,0.00003292466,0.00006298727,0.00005827879,0.00001761552,0.0002747168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2656328,"threshold_uncertainty_score":0.99774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03917718194618368,"score_gpt":0.331901513087185,"score_spread":0.2927243311410013,"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."}}