{"id":"W2090456339","doi":"10.1503/cmaj.109-4015","title":"Nothing to sneeze at","year":2011,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Public health and occupational medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nothing; Hygiene; Hygiene hypothesis; Product (mathematics); Computer science; Medicine; Data science; Allergy; Immunology; Pathology; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004548242,0.00005819286,0.0001148946,0.0001922352,0.0009659445,0.00004196005,0.0002668447,0.0002561781,0.01689202],"category_scores_gemma":[0.0118456,0.00005504758,0.00004024178,0.0003290692,0.00003973529,0.0001523565,0.00001302484,0.0004509427,0.0009569576],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002724822,"about_ca_system_score_gemma":0.007605688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06202385,"about_ca_topic_score_gemma":0.3585361,"domain_scores_codex":[0.9970325,0.0002147176,0.0002918617,0.000100156,0.001718569,0.0006422569],"domain_scores_gemma":[0.9935609,0.0001852094,0.0001094107,0.00005180163,0.0003993783,0.005693326],"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":[0.00001344234,0.00002324578,0.175463,0.000003655051,0.00003165942,0.000244109,0.07679023,3.721171e-7,0.000002553645,0.009926289,0.6500162,0.08748525],"study_design_scores_gemma":[0.0001764329,0.00002114228,0.06256687,0.00002041083,0.000003002907,0.00001528674,0.001575214,0.000005581385,0.000001168779,0.0002372819,0.9353149,0.00006271416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.190494,0.0001062247,0.0003434159,0.442314,0.004350492,0.0002290064,0.00001610189,0.00005060869,0.3620962],"genre_scores_gemma":[0.8122722,0.00007779673,0.0005390685,0.1746389,0.006056958,0.000009272226,0.000003896531,0.00001201302,0.006389932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6217782,"threshold_uncertainty_score":0.9998209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313481545247841,"score_gpt":0.316184051802276,"score_spread":0.2848358972774919,"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."}}