{"id":"W4386128736","doi":"10.2139/ssrn.4546162","title":"“Invisible Killer”: Seasonal Allergies and Accidents","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Allergy; Environmental health; Environmental science; Geography; Medicine; Immunology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0009184154,0.0003707559,0.000326516,0.001795967,0.001594644,0.002020733,0.0004314799,0.002882285,0.01148191],"category_scores_gemma":[0.003385482,0.0001579583,0.0002764695,0.001573321,0.002550771,0.002696638,0.001843816,0.002651054,0.001317867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006238706,"about_ca_system_score_gemma":0.001707411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004732707,"about_ca_topic_score_gemma":0.008090699,"domain_scores_codex":[0.9994312,0.0002083661,0.0000546042,0.00005526113,0.0001417924,0.0001088128],"domain_scores_gemma":[0.9989449,0.0003091264,0.0002830787,0.00004505904,0.0001334139,0.0002844722],"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":[0.0003535638,0.0004441953,0.05704639,0.00224674,0.00007339019,0.01668306,0.01382196,0.0001550578,0.001399394,0.06686116,0.4727369,0.3681782],"study_design_scores_gemma":[0.00003937527,0.0004016218,0.1122933,0.00370689,0.0001186097,0.04208274,0.03186166,0.0002079046,0.0002580507,0.03413305,0.7748252,0.00007165359],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07529755,0.2904184,0.001018461,0.4275861,0.05612865,0.0000456339,0.0003426661,0.00008677352,0.1490757],"genre_scores_gemma":[0.5806484,0.205013,0.0007035684,0.06476429,0.09756932,0.00003920605,0.0003139356,0.00004754962,0.05090073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01148191,"threshold_uncertainty_score":0.03841084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232824628349019,"score_gpt":0.2401461855643882,"score_spread":0.217817939280898,"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."}}