{"id":"W2167115658","doi":"10.1016/j.egypro.2013.06.683","title":"Public Preferences to CCS: How does it Change Across Countries?","year":2013,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Climate change; Context (archaeology); Process (computing); Political science; Public policy; Public relations; Regional science; Geography; Environmental resource management; Computer science; Environmental science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009103841,0.0001636749,0.000458778,0.002045488,0.001263024,0.004229876,0.0005858327,0.001233746,0.004287141],"category_scores_gemma":[0.02330299,0.0002441667,0.0005711037,0.003365067,0.00332291,0.002955491,0.002463897,0.00154746,0.0003549378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002989844,"about_ca_system_score_gemma":0.002701995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03632165,"about_ca_topic_score_gemma":0.03618993,"domain_scores_codex":[0.9927033,0.003871644,0.0002718937,0.0006016815,0.001213909,0.001337487],"domain_scores_gemma":[0.9824907,0.007755895,0.003938864,0.001122583,0.003702963,0.0009891029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004703442,0.0003982541,0.6825239,0.0007324814,0.0005209983,0.0009481839,0.1443581,0.001464817,0.001531937,0.02496679,0.005353334,0.1367307],"study_design_scores_gemma":[0.00001416677,0.000164657,0.7876305,0.0004684717,0.00007808558,0.0001970651,0.1879998,0.0003392966,0.0004015338,0.004085148,0.01855068,0.00007056516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669847,0.001284733,0.0005797305,0.009073175,0.00009011379,0.00003180719,0.000177719,0.000007682437,0.02177023],"genre_scores_gemma":[0.9986582,0.0003894156,0.00007583549,0.0003976945,0.00001150541,0.000007909755,0.00003916295,0.000004679346,0.0004156012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03632165,"threshold_uncertainty_score":0.07222044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05751141557161512,"score_gpt":0.2985664611955755,"score_spread":0.2410550456239604,"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."}}