{"id":"W2409142811","doi":"","title":"[Predictive equations and analysis of influence factors of lung ventilation based on a large occupational population in North China].","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Spirometer; Spirometry; Population; Univariate analysis; Regression analysis; Statistics; Linear regression; Lung function; Demography; Mathematics; Internal medicine; Environmental health; Lung; Multivariate analysis; Asthma","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":[0.002295105,0.0007271792,0.0004312464,0.001446761,0.0003079526,0.0004244162,0.0005805602,0.0002978113,0.001150886],"category_scores_gemma":[0.007822777,0.0003045471,0.0006099548,0.001010905,0.0002608414,0.0003319792,0.000379621,0.0003814884,0.0002539568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000528322,"about_ca_system_score_gemma":0.001070281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02463797,"about_ca_topic_score_gemma":0.01348147,"domain_scores_codex":[0.9995084,0.0001651302,0.00004192658,0.0001059205,0.000138371,0.0000403071],"domain_scores_gemma":[0.9986494,0.0006298032,0.0002717599,0.0001154595,0.0002557422,0.00007787314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009572841,0.000054223,0.9645358,0.00006456075,0.0001525648,0.0002173001,0.0001413249,0.004574571,0.0004237969,0.0002344516,0.001319327,0.02818645],"study_design_scores_gemma":[0.00005254641,0.0001332321,0.9223557,0.00003127782,0.0001883224,0.0003715083,0.0001018323,0.07456674,0.0005875293,0.0004973637,0.001099211,0.00001479739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822702,0.0004369999,0.0152825,0.00009929733,0.00004142085,0.0001567681,0.0009821205,0.0001718119,0.0005589101],"genre_scores_gemma":[0.9907597,0.0002083697,0.007028131,0.00002774569,0.00002509671,0.000110756,0.001469158,0.000009535735,0.0003615481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02463797,"threshold_uncertainty_score":0.04898912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611124967500505,"score_gpt":0.2586796708289371,"score_spread":0.242568421153932,"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."}}