{"id":"W4282043132","doi":"10.1186/s13223-022-00696-w","title":"Patient selection for milk and egg ladders using a food ladder safety checklist","year":2022,"lang":"en","type":"letter","venue":"Allergy Asthma and Clinical Immunology","topic":"Food Allergy and Anaphylaxis Research","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Alberta; BC Children's Hospital; University of British Columbia","funders":"University of Hong Kong","keywords":"Checklist; Food allergy; Food allergens; Food safety; Asthma; Selection (genetic algorithm); Anaphylaxis; Medicine; Food science; Environmental health; Allergy; Biology; Immunology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001391558,0.0004058582,0.0005116218,0.0007327083,0.001754135,0.0009330293,0.0006338762,0.007016209,0.008973853],"category_scores_gemma":[0.01146258,0.0001851175,0.0004766356,0.0003838,0.0004802453,0.001458758,0.0007183155,0.003668061,0.003054218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009903352,"about_ca_system_score_gemma":0.001307697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211122,"about_ca_topic_score_gemma":0.001924589,"domain_scores_codex":[0.9985923,0.0006886885,0.0002315185,0.00008215198,0.0002234017,0.0001818326],"domain_scores_gemma":[0.9968947,0.001498861,0.0003054153,0.00009560745,0.0005610273,0.0006443169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003607195,0.0006064301,0.03341252,0.0002155118,0.00002640761,0.07390739,0.0008943875,0.0005272307,0.001448314,0.002002537,0.7973275,0.08927102],"study_design_scores_gemma":[0.001205728,0.002003306,0.05820379,0.003160451,0.00007919617,0.272821,0.006738422,0.009652014,0.003477377,0.02389958,0.6183566,0.0004025078],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06077457,0.003041875,0.004376893,0.8615923,0.007579944,0.001362551,0.0002720061,0.0005486407,0.06045125],"genre_scores_gemma":[0.4328968,0.004279431,0.01235476,0.5023922,0.02082274,0.002003472,0.0004276638,0.0001239158,0.02469897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008973853,"threshold_uncertainty_score":0.03002059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03664936352431612,"score_gpt":0.3308695371404189,"score_spread":0.2942201736161028,"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."}}