{"id":"W2795973091","doi":"10.1016/b978-0-12-812959-3.00002-2","title":"Solar PV Power Plants Site Selection","year":2018,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":121,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Site selection; Photovoltaic system; Analytic hierarchy process; Selection (genetic algorithm); Solar power; Geographic information system; Solar energy; Installation; Environmental science; Environmental resource management; Computer science; Engineering; Operations research; Power (physics); Geography; Remote sensing; Electrical engineering","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":[0.0001240721,0.0004674109,0.0003163823,0.000869659,0.0003204877,0.0008325859,0.0004886341,0.0003519291,0.1948085],"category_scores_gemma":[0.0002495904,0.000181328,0.0002233831,0.001538816,0.0000791016,0.0007292427,0.0003775762,0.000448633,0.09398624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002000547,"about_ca_system_score_gemma":0.0002268845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006337433,"about_ca_topic_score_gemma":0.002626349,"domain_scores_codex":[0.9999191,0.000006048511,0.000002936205,0.00001641399,0.00004692035,0.000008491126],"domain_scores_gemma":[0.9999083,0.00001784048,0.000005840803,0.00001108894,0.00003802984,0.00001889558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004246827,0.00003798537,0.0004713947,0.0002380565,0.000003794132,0.000138475,0.00002667738,0.001067694,0.002814045,0.00305702,0.256966,0.7351364],"study_design_scores_gemma":[0.000008379872,0.00003848721,0.002074692,0.0001339655,0.000004289647,0.0003699257,0.00005401155,0.0006445426,0.001515202,0.003224585,0.9919232,0.000008822896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006965311,0.005680535,0.01218,0.0007752979,0.0009861193,0.00008736228,0.003371336,0.001535028,0.968419],"genre_scores_gemma":[0.02597545,0.006650174,0.005805075,0.000307135,0.0003440073,0.00005194586,0.003585186,0.0006284332,0.9566526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1948085,"threshold_uncertainty_score":0.6516992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293229199137461,"score_gpt":0.2252585989509342,"score_spread":0.2123263069595596,"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."}}