{"id":"W4308069877","doi":"10.1109/ccece49351.2022.9918469","title":"Site Suitability Assessment of Public EV Charging Stations in Urban Environment","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Software deployment; Geographic information system; Charging station; Greenhouse gas; Electric vehicle; Computer science; Volunteered geographic information; Environmental science; Environmental economics; Transport engineering; Engineering; Remote sensing; Geography; Data science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004124649,0.0003438078,0.0002379284,0.001933248,0.0005035155,0.001043471,0.0003440608,0.0004041618,0.001880628],"category_scores_gemma":[0.00130916,0.0001591882,0.0003872086,0.001769656,0.0003776774,0.0005078979,0.0005062478,0.0001360169,0.000407856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009801768,"about_ca_system_score_gemma":0.0007751003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.047908,"about_ca_topic_score_gemma":0.1478241,"domain_scores_codex":[0.9994969,0.00009765445,0.00003233621,0.00006563554,0.0002230703,0.00008436761],"domain_scores_gemma":[0.999292,0.0001748888,0.00009837466,0.000063491,0.0003002097,0.00007098099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005472753,0.0001507168,0.7769374,0.0004458924,0.0001448657,0.001538985,0.001413845,0.1079357,0.02477005,0.001875554,0.002186981,0.08205272],"study_design_scores_gemma":[0.00002956421,0.0004577159,0.7427753,0.00007390232,0.0001999588,0.000628937,0.01304795,0.2174298,0.01856201,0.001263928,0.005414893,0.0001161079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901879,0.00007222101,0.004985807,0.00002706522,0.000008020371,0.0000688712,0.0008190596,0.00008760187,0.003743418],"genre_scores_gemma":[0.9964282,0.00004512767,0.002494086,0.00000315792,0.000001133344,0.00001629336,0.0003071533,0.000005637643,0.000699178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.047908,"threshold_uncertainty_score":0.0952583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00859281839857872,"score_gpt":0.2134329989857505,"score_spread":0.2048401805871717,"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."}}