{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003112824,0.0001418289,0.0001641404,0.0001665219,0.0001013643,0.000183619,0.0004221823,0.00006348534,0.000198744],"category_scores_gemma":[0.00002172372,0.0001400317,0.00003612728,0.000451449,0.00003631892,0.0002624786,0.00009875195,0.000179581,0.002933493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001148041,"about_ca_system_score_gemma":0.0000164109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004817366,"about_ca_topic_score_gemma":0.00001964487,"domain_scores_codex":[0.9987853,0.00005181173,0.0001940333,0.0002183229,0.0003370724,0.0004134352],"domain_scores_gemma":[0.9994515,0.0001079383,0.00001596803,0.0003182524,0.00001808741,0.00008823173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002248723,0.0000474755,0.04723025,0.0004648503,0.0003397577,0.000337223,0.001332566,0.5564354,0.07499692,0.0001065456,0.2946025,0.02408405],"study_design_scores_gemma":[0.00110524,0.00007018444,0.06657112,0.0003511092,0.00002326853,0.00002306746,0.0001636612,0.1638189,0.2399779,0.00009730922,0.5266777,0.001120477],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974062,0.000393337,0.003577969,0.00008701074,0.001966076,0.0005069675,0.00001466224,0.00114627,0.01824577],"genre_scores_gemma":[0.9981222,0.000229292,0.00002811504,0.00002276996,0.0002743885,0.0001551703,0.000009980629,0.00005476622,0.001103276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3926165,"threshold_uncertainty_score":0.9978428,"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."}}