{"id":"W4367608935","doi":"10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a3053","title":"Genetic Risk Profiling for Indoor and Outdoor Aeroallergens Sensitization in a French-Canadian Family Asthma Cohort","year":2023,"lang":"en","type":"article","venue":"","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Asthma; Profiling (computer programming); Cohort; Medicine; Environmental health; Computer science; Immunology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007370927,0.0009074123,0.0005767192,0.002324184,0.004660225,0.001719564,0.001356601,0.001131873,0.003891564],"category_scores_gemma":[0.001668372,0.0005036204,0.001332991,0.002603162,0.0006635136,0.0003772666,0.0008516467,0.001065793,0.0003929604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009184451,"about_ca_system_score_gemma":0.009326048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9642393,"about_ca_topic_score_gemma":0.9614514,"domain_scores_codex":[0.9990047,0.00009569056,0.00004328077,0.0002678888,0.0002316172,0.0003569741],"domain_scores_gemma":[0.9989678,0.00008241329,0.0001228541,0.00006019879,0.000468177,0.0002986485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001742056,0.00006784943,0.9915107,0.00001820299,0.0001617597,0.0007530464,0.001100555,0.0001447338,0.0009973567,0.0002126881,0.001675877,0.003183023],"study_design_scores_gemma":[0.00001184687,0.0000380505,0.9956185,0.00003840893,0.0001064151,0.0007564703,0.001192965,0.0003267693,0.0001112067,0.00006509752,0.001714243,0.00002007179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935493,0.0009356402,0.0002827894,0.0004563579,0.00003286422,0.00003583499,0.002376663,0.00001743913,0.002313119],"genre_scores_gemma":[0.9960593,0.0004575311,0.0003080389,0.0001540527,0.0000133806,0.00002154803,0.0008890784,0.00001300552,0.002084048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0357607,"threshold_uncertainty_score":0.07194257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278877327304971,"score_gpt":0.2511623355552952,"score_spread":0.2383735622822455,"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."}}