{"id":"W4307106917","doi":"10.1007/s44173-022-00007-x","title":"Do agrivoltaics improve public support for solar? A survey on perceptions, preferences, and priorities","year":2022,"lang":"en","type":"article","venue":"Green Technology Resilience and Sustainability","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"U.S. Department of Energy","keywords":"Software deployment; Production (economics); Business; Environmental economics; Agriculture; Photovoltaic system; Agricultural productivity; Solar energy; Environmental resource management; Environmental planning; Marketing; Engineering; Economics; Geography","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":[0.002502442,0.0001802317,0.0003034858,0.0002738314,0.002861669,0.0001291769,0.000568448,0.000268909,0.00008948499],"category_scores_gemma":[0.003051993,0.000186611,0.00005287271,0.0008587022,0.002279373,0.0003085033,0.0004337507,0.0003603375,5.436193e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005456259,"about_ca_system_score_gemma":0.001229062,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01259687,"about_ca_topic_score_gemma":0.03599787,"domain_scores_codex":[0.9975203,0.0004007818,0.0002668596,0.0007048185,0.0003949656,0.00071222],"domain_scores_gemma":[0.9984326,0.0004219154,0.0001258509,0.0003787042,0.0005072703,0.0001337025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006916066,0.00007587704,0.7318773,0.00004046542,0.00001136732,0.000002707577,0.002525256,0.00000463983,0.00001872006,0.03847735,0.0004301612,0.226467],"study_design_scores_gemma":[0.0006037329,0.001302631,0.3489005,0.000004787187,0.00001951175,0.000003952156,0.3258756,0.00004749193,0.00003961514,0.2903771,0.03234453,0.0004805665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922882,0.0003257896,0.0002500687,0.005141783,0.0001496295,0.0009968553,0.00009995959,0.0002181597,0.0005295052],"genre_scores_gemma":[0.9965145,0.000273305,0.0001872574,0.0001142842,0.0000550092,0.0005846314,0.0000127624,0.00001172383,0.002246541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3829768,"threshold_uncertainty_score":0.9984365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812795533135674,"score_gpt":0.2992497433784,"score_spread":0.2811217880470433,"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."}}