{"id":"W4406597450","doi":"10.1503/cmaj.240915","title":"Parking lot baby","year":2025,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00169173,0.00008006116,0.0001407422,0.0003204681,0.0001821258,0.0001386749,0.0002445929,0.0002659228,0.002216866],"category_scores_gemma":[0.001246764,0.00008289241,0.00005572735,0.0003651319,0.00001347614,0.0000720044,0.00001026779,0.0008979321,0.0003907403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00183906,"about_ca_system_score_gemma":0.001376515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030418,"about_ca_topic_score_gemma":0.01859456,"domain_scores_codex":[0.998146,0.00009905479,0.0002977994,0.00007991108,0.000885317,0.0004919249],"domain_scores_gemma":[0.9987462,0.0001782634,0.0000315084,0.0000853363,0.0001586658,0.0007999867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[8.222593e-7,0.000003560376,0.06488436,0.000022171,0.0001439615,0.0001835246,0.0001093045,0.0002508259,0.00003053475,0.0003977937,0.8942012,0.039772],"study_design_scores_gemma":[0.0002576377,0.000004022339,0.01603971,0.0001182141,0.000005013196,0.00005598781,0.00009008822,0.00753223,0.00003079911,0.0001076531,0.9756749,0.00008375038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.287737,0.003166529,0.006899639,0.03749916,0.01851185,0.0004066589,0.00002889655,0.0004698555,0.6452804],"genre_scores_gemma":[0.9929486,0.00006066405,0.00007748778,0.001719764,0.001070804,0.000007721062,0.00000236867,0.00001819236,0.004094386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7052116,"threshold_uncertainty_score":0.9993135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006647522173101592,"score_gpt":0.2388965350692058,"score_spread":0.2322490128961042,"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."}}