{"id":"W2899885417","doi":"10.1016/j.jglr.2018.10.006","title":"Winds of change – Predicting water-based recreationists' support and opposition for offshore wind energy development in the Great Lakes","year":2018,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Pennsylvania Sea Grant, Pennsylvania State University","keywords":"Recreation; Opposition (politics); Climate change; Environmental resource management; Premise; Politics; Structural equation modeling; Perception; Biology and political orientation; Environmental planning; Geography; Political science; Environmental science; Ecology; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003885698,0.0001038091,0.00009886383,0.000295005,0.0005251062,0.0009032001,0.0002624061,0.0005165777,0.001743498],"category_scores_gemma":[0.002534237,0.0001708353,0.0002854267,0.000444816,0.0004928126,0.0005059338,0.0009525197,0.0006345468,0.0001573567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000870888,"about_ca_system_score_gemma":0.0007525191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1080636,"about_ca_topic_score_gemma":0.2428084,"domain_scores_codex":[0.9997192,0.00009035887,0.00001975793,0.00002930785,0.00005111668,0.00009015178],"domain_scores_gemma":[0.9985272,0.0004303799,0.0004508801,0.00004724225,0.0001560584,0.0003882388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000384462,0.00004113181,0.9962415,0.000004631209,0.00003300602,0.00008268879,0.001859537,0.0002957085,0.0001617442,0.0001024493,0.0002013073,0.000937819],"study_design_scores_gemma":[0.000002193884,0.00001312198,0.9950188,0.000003427448,0.000005906542,0.00001494632,0.003974611,0.0006459942,0.0000256591,0.00002892134,0.0002635764,0.000002783908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994171,0.000007333689,0.00001702536,0.00007625186,0.000002051521,0.000001874284,0.00004057081,8.214129e-7,0.0004371468],"genre_scores_gemma":[0.9996988,0.00001116598,0.00002073456,0.000009205181,0.000002193431,0.000003758773,0.00005536255,7.986345e-7,0.0001980967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8919364,"threshold_uncertainty_score":0.2148693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1223123177542704,"score_gpt":0.382008704360932,"score_spread":0.2596963866066616,"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."}}