{"id":"W4387986979","doi":"10.1109/access.2023.3328233","title":"SCOPE: Smart Cooperative Parking Environment","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Higher Education and Scientific Research","keywords":"Scope (computer science); Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003910715,0.0002977276,0.0002687735,0.0002895719,0.0005143071,0.0007192807,0.0009621741,0.0004738561,0.002624954],"category_scores_gemma":[0.0005873156,0.0001499093,0.0002757646,0.0003174083,0.0004825509,0.001477754,0.002575393,0.000405454,0.0006789109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003330688,"about_ca_system_score_gemma":0.0008012486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001814999,"about_ca_topic_score_gemma":0.00294476,"domain_scores_codex":[0.9997246,0.00007625642,0.000009965369,0.00005670317,0.00008274817,0.00004975861],"domain_scores_gemma":[0.9997268,0.00004993247,0.00002454805,0.00006316126,0.00005911791,0.00007641812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009802154,0.0009817295,0.01569326,0.000505246,0.0001560527,0.001935326,0.002380507,0.3873082,0.1177146,0.1129602,0.02926282,0.3301217],"study_design_scores_gemma":[0.0001344743,0.0008719274,0.003782259,0.00003096556,0.00007990697,0.0008360211,0.0007756181,0.8849809,0.0173749,0.0256018,0.06544831,0.00008301756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3699652,0.0004213017,0.5779356,0.0006474642,0.0001421989,0.0004067388,0.0003545058,0.008133938,0.041993],"genre_scores_gemma":[0.9520167,0.0001258778,0.04181738,0.0001218377,0.00001570387,0.0001507538,0.000210386,0.00004922604,0.005492238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002624954,"threshold_uncertainty_score":0.008781374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05545290659260992,"score_gpt":0.3126277626324967,"score_spread":0.2571748560398868,"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."}}