{"id":"W4389288586","doi":"10.22214/ijraset.2023.57267","title":"Autonomous Parking Surveillance","year":2023,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"License; Identification (biology); Computer science; Parking lot; Parking guidance and information; Simple (philosophy); Computer security; Transport engineering; Engineering; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005508658,0.00009262327,0.0001294577,0.004113209,0.0001755986,0.0002358444,0.0009909513,0.00009065898,0.000002581654],"category_scores_gemma":[0.0005824969,0.00009427563,0.00001742811,0.002650122,0.000272082,0.0001189961,0.0002276821,0.0006521541,0.00002686745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004893182,"about_ca_system_score_gemma":0.0001197242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004319004,"about_ca_topic_score_gemma":0.000005265713,"domain_scores_codex":[0.9978353,0.000008211723,0.0002381219,0.0002285338,0.0009121528,0.0007776577],"domain_scores_gemma":[0.9991596,0.0002465534,0.00001570939,0.000149342,0.0003252886,0.0001034644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005172697,0.00003246518,0.007275673,0.0001740323,0.00009951109,0.0003330596,0.0004917993,0.1321266,0.5532445,0.0690192,0.005626132,0.2315253],"study_design_scores_gemma":[0.0007901041,0.00006012831,0.005369048,0.0001450654,6.873292e-7,0.0003453458,0.0003920295,0.830423,0.009984201,0.009889399,0.1423,0.0003009734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845946,0.0003041116,0.00508986,0.002703463,0.002931796,0.0005522048,0.000008814768,0.00105904,0.002756045],"genre_scores_gemma":[0.9984424,0.0002116815,0.0009621747,0.000003994977,0.0001787333,0.0001455335,0.000001241692,0.00002283492,0.00003139817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6982964,"threshold_uncertainty_score":0.3844449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.063761209262836,"score_gpt":0.3839912224599538,"score_spread":0.3202300131971177,"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."}}