{"id":"W4413948770","doi":"10.32920/30042802","title":"Infographic: Emergency Food & Water Safety in Ontario","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infographic; Food safety; Business; Water safety; Food science; Computer science; Water quality; Chemistry; Biology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000310977,0.0004912075,0.0003639035,0.002373689,0.002222057,0.001794903,0.0006607556,0.0007692988,0.4584085],"category_scores_gemma":[0.001945731,0.0002887741,0.0003518278,0.006530278,0.0005204635,0.0008245992,0.0006680842,0.0003706853,0.06391481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0116854,"about_ca_system_score_gemma":0.01880177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9415537,"about_ca_topic_score_gemma":0.974958,"domain_scores_codex":[0.9995728,0.0000196909,0.00002322949,0.00003493244,0.00025545,0.00009383714],"domain_scores_gemma":[0.9973949,0.0003885519,0.0001991411,0.0001052312,0.001263244,0.0006488825],"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":[0.0000208723,0.000007191921,0.001465001,0.0002576853,0.000002516306,0.00003525238,0.0001634886,0.00002624678,0.00007979509,0.0001884993,0.9860976,0.01165571],"study_design_scores_gemma":[0.00003043385,0.00001461427,0.0445,0.0002545101,0.00001287314,0.00003923195,0.0008953477,0.0001052521,0.0002057513,0.000201688,0.9537234,0.00001678202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.009363463,0.003245033,0.00048806,0.01423599,0.00167177,0.0002594128,0.5835053,0.001558508,0.3856725],"genre_scores_gemma":[0.057928,0.006566939,0.001302438,0.002228305,0.001230675,0.0001898741,0.1510262,0.001073726,0.7784539],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4584085,"threshold_uncertainty_score":0.7725145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03781434088134302,"score_gpt":0.2283677550785154,"score_spread":0.1905534141971724,"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."}}