{"id":"W3037260400","doi":"","title":"Spatial Distribution and Characteristics of Restaurant Inspection Results in Toronto, Ontario, 2017–2018","year":2020,"lang":"en","type":"article","venue":"Food Protection Trends","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Geography; Spatial distribution; Remote sensing; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001421684,0.0001213413,0.000269524,0.00005110312,0.00004459086,0.00001149423,0.00003805431,0.00008750406,0.000093637],"category_scores_gemma":[0.0002147632,0.0001199713,0.00004558831,0.0001979258,0.00005077852,0.0001418671,0.00003195625,0.0001821214,0.000004539957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004329818,"about_ca_system_score_gemma":0.00007421375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03424573,"about_ca_topic_score_gemma":0.1528306,"domain_scores_codex":[0.9989101,0.00005922417,0.0004000796,0.0002958316,0.0001972809,0.0001374313],"domain_scores_gemma":[0.9994086,0.00001032655,0.0001949233,0.0001912642,0.00007230697,0.0001225494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.04175239,0.001315962,0.1134627,0.0009894085,0.0003547859,0.0001192434,0.005784738,0.00001193624,0.02350732,0.0002632116,0.008997323,0.803441],"study_design_scores_gemma":[0.002461496,0.002146021,0.9789891,0.00007987844,0.00003332173,0.00001790259,0.00007638373,0.0005703479,0.001215546,0.00000795371,0.01429034,0.0001117421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899596,0.0001214064,0.002270868,0.00162884,0.0003229029,0.0005256126,0.00268033,0.0001961944,0.002294257],"genre_scores_gemma":[0.99845,0.00002748545,0.00006515675,0.00003184967,0.0001737223,0.00003574594,0.00111161,0.00001046426,0.00009394848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8655264,"threshold_uncertainty_score":0.9721853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870927617197517,"score_gpt":0.2596517604684095,"score_spread":0.2309424842964344,"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."}}