{"id":"W3042737696","doi":"","title":"A parking-lot injection clinic: An adaptation to the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Adaptation (eye); Computer science; Medical emergency; Medicine; Data science; Virology; Outbreak; Psychology; Infectious disease (medical specialty); Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.002079246,0.0004601296,0.0003251087,0.0006446796,0.006461539,0.003340345,0.002872622,0.006813021,0.0245616],"category_scores_gemma":[0.004994067,0.0006272807,0.001233924,0.0008135611,0.001870659,0.001346473,0.003413356,0.006464001,0.002852095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01312186,"about_ca_system_score_gemma":0.03644646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2488465,"about_ca_topic_score_gemma":0.6107677,"domain_scores_codex":[0.9969313,0.0005272287,0.0001037186,0.000353684,0.0009438884,0.001140155],"domain_scores_gemma":[0.9934181,0.0004872395,0.0002024146,0.0002390128,0.0009218486,0.004731523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"case_report","study_design_scores_codex":[0.0005355198,0.003376438,0.03985042,0.0004628047,0.0001188598,0.01450743,0.005833002,0.004772506,0.0073042,0.02213112,0.6794145,0.2216933],"study_design_scores_gemma":[0.0004686662,0.001511365,0.1012487,0.0004414408,0.00008028355,0.005690813,0.01216607,0.008575724,0.001267569,0.006785327,0.8614122,0.0003516457],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2798554,0.001845165,0.01725659,0.4455966,0.02009633,0.002533183,0.003923636,0.00430449,0.2245886],"genre_scores_gemma":[0.6813639,0.002227057,0.02856078,0.1815121,0.00401649,0.0007781875,0.001976152,0.0008067183,0.09875859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2488465,"threshold_uncertainty_score":0.4947962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09606991246021626,"score_gpt":0.3142580558327845,"score_spread":0.2181881433725682,"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."}}