{"id":"W2735104488","doi":"10.1017/pls.2017.6","title":"Communities ready for takeoff","year":2017,"lang":"en","type":"article","venue":"Politics and the Life Sciences","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Works and Government Services Canada","funders":"National Institute of Food and Agriculture","keywords":"Site selection; Alliance; Selection (genetic algorithm); Asset (computer security); Business; Environmental planning; Computer science; Political science","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":[0.002076201,0.000370704,0.0003470304,0.00139693,0.00953162,0.007015578,0.0009492388,0.002157944,0.06899323],"category_scores_gemma":[0.006779033,0.0001988476,0.0004494718,0.0006863166,0.003490816,0.005558817,0.01157537,0.002268355,0.006824708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478608,"about_ca_system_score_gemma":0.003380385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003895185,"about_ca_topic_score_gemma":0.01197388,"domain_scores_codex":[0.9975703,0.0007573258,0.00004502339,0.0002539966,0.0004996887,0.000873572],"domain_scores_gemma":[0.9939108,0.0005935299,0.0003957636,0.0003675007,0.0007654735,0.003966968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002057299,0.0004523489,0.02666938,0.000227222,0.00005802833,0.003398247,0.04234342,0.0008730341,0.003161888,0.5388663,0.1025919,0.2811525],"study_design_scores_gemma":[0.00004206427,0.0002033817,0.01287726,0.0003000455,0.00002625172,0.0005948427,0.08351283,0.001041757,0.0007435807,0.1408577,0.7597167,0.00008352556],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2112028,0.000760978,0.01267427,0.02218231,0.0008140716,0.0003144723,0.0002147496,0.0002641226,0.7515723],"genre_scores_gemma":[0.900276,0.000409091,0.004157162,0.002565161,0.0001713831,0.0001823112,0.0001667693,0.0001338483,0.09193824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06899323,"threshold_uncertainty_score":0.2308053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1154363593225429,"score_gpt":0.3806030438027015,"score_spread":0.2651666844801586,"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."}}