{"id":"W2809817608","doi":"10.1097/hcr.0000000000000338","title":"Exertional Oxygen Requirements During Exercise Training in Advanced Interstitial Lung Disease","year":2018,"lang":"en","type":"article","venue":"Journal of Cardiopulmonary Rehabilitation and Prevention","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; University Health Network; Toronto Rehabilitation Institute","funders":"","keywords":"Medicine; Interstitial lung disease; Training (meteorology); Supplemental oxygen; Physical therapy; Lung disease; Exertional dyspnea; Disease; Physical medicine and rehabilitation; Intensive care medicine; Lung; Cardiology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007153467,0.0001434376,0.0003559672,0.0004394899,0.00009444999,0.0000208313,0.00007171258,0.00005643175,0.0001274388],"category_scores_gemma":[0.0003268842,0.0001391593,0.0002706839,0.0002395561,0.0001895713,0.000649219,0.00004760627,0.0002157799,0.00000327327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004050894,"about_ca_system_score_gemma":0.0003227123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003062384,"about_ca_topic_score_gemma":0.00000204696,"domain_scores_codex":[0.9980779,0.0001934635,0.0006500965,0.0002502625,0.000601731,0.0002265691],"domain_scores_gemma":[0.9988481,0.00007652439,0.0002189135,0.0001592162,0.0003900642,0.0003071983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02687068,0.0007442787,0.5823656,0.003200324,0.0003173431,0.0007656767,0.005658885,0.0002901222,0.0201943,0.0002867755,0.0002403923,0.3590656],"study_design_scores_gemma":[0.003004513,0.0004125641,0.9884439,0.002009989,0.0001355741,0.0001494921,0.001800928,0.0006965806,0.00007096319,0.002876586,0.0002750624,0.0001239211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953217,0.002247546,0.00033018,0.0006265178,0.0003288495,0.0005735137,0.000007190105,0.00001251645,0.0005519741],"genre_scores_gemma":[0.9975061,0.0001815035,0.001518316,0.00001836742,0.0004154447,0.00002742805,0.00001627497,0.00001923642,0.0002972787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4060782,"threshold_uncertainty_score":0.567475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821232310650809,"score_gpt":0.3246632756245628,"score_spread":0.3064509525180547,"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."}}