{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003051551,0.0007271376,0.0003863259,0.0005328311,0.002578512,0.001962791,0.0009531367,0.001221011,0.7313485],"category_scores_gemma":[0.001951292,0.0003731848,0.0003637301,0.000335198,0.0002941972,0.0018276,0.002860238,0.001579476,0.5197223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004897388,"about_ca_system_score_gemma":0.0009053831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004063594,"about_ca_topic_score_gemma":0.009367167,"domain_scores_codex":[0.9996983,0.00003488379,0.00001090125,0.00005037797,0.0001094172,0.00009626112],"domain_scores_gemma":[0.9987502,0.00004478262,0.00003099837,0.00007572625,0.000442175,0.0006561744],"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":[0.00002462912,0.0000228394,0.0002333321,0.00002762361,0.000001121041,0.0001231498,0.0001019819,0.00000824933,0.0001369072,0.0005711151,0.9772161,0.02153296],"study_design_scores_gemma":[0.00000632764,0.000021283,0.0007080632,0.00002419048,0.000001688996,0.0002606997,0.0003083984,0.00003529685,0.0001378608,0.0001760925,0.9983113,0.000008815791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005503192,0.00083824,0.003231323,0.01809912,0.007437789,0.0003351143,0.006465625,0.01111681,0.9469729],"genre_scores_gemma":[0.01045143,0.0004292291,0.001477457,0.004931033,0.0004183865,0.00006188795,0.002217991,0.00105549,0.9789571],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7313485,"threshold_uncertainty_score":0.3831987,"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."}}