{"id":"W2626164772","doi":"10.14714/cp85.1372","title":"An Analysis of Interactive Solar Energy Web Maps for Urban Energy Sustainability","year":2017,"lang":"en","type":"article","venue":"Cartographic Perspectives","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Sustainability; Outreach; Renewable energy; Computer science; Geographic information system; Variety (cybernetics); Data science; Set (abstract data type); Architectural engineering; World Wide Web; Geography; Engineering; Remote sensing; Artificial intelligence","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":[0.003948014,0.0003701288,0.0001727737,0.007610323,0.001277351,0.004169322,0.000609264,0.0004594465,0.004214943],"category_scores_gemma":[0.02925962,0.0002073059,0.0004747909,0.01263103,0.000976282,0.00292272,0.00160953,0.0005564359,0.0004682754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942991,"about_ca_system_score_gemma":0.001797503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01669958,"about_ca_topic_score_gemma":0.0235737,"domain_scores_codex":[0.9952925,0.002018539,0.0001953242,0.0002066592,0.002001344,0.0002856265],"domain_scores_gemma":[0.9612762,0.0272818,0.002714969,0.001547278,0.006743495,0.0004362828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003901561,0.000354548,0.4893624,0.001365764,0.0001612928,0.002016827,0.1766782,0.005099861,0.005397673,0.03209535,0.01020359,0.2768743],"study_design_scores_gemma":[0.00001796696,0.0001730918,0.6447867,0.0007542607,0.0001736319,0.0009113284,0.2238767,0.02312394,0.005109589,0.008786618,0.09217756,0.0001086987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503133,0.0002016409,0.007964754,0.0004266793,0.0000206591,0.0002902544,0.001509134,0.0001439325,0.03912975],"genre_scores_gemma":[0.9860163,0.000161303,0.01072052,0.00004195363,0.00001445957,0.0001546727,0.001039566,0.0001110265,0.001740125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01669958,"threshold_uncertainty_score":0.03320473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145312913956826,"score_gpt":0.3122506605218946,"score_spread":0.3007975313823263,"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."}}