{"id":"W2011412212","doi":"10.1016/j.resp.2011.03.005","title":"Detection of disturbances in pulmonary gas exchanges during exercise from arterialized earlobe <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si33.gif\" overflow=\"scroll\"> <mml:mrow> <mml:msub> <mml:mtext>P</mml:mtext> <mml:mrow> <mml:msub> <mml:mtext>O</mml:mtext> <mml:mn>2</mml:mn> </mml:msub> </mml:mrow> </mml:msub> </mml:mrow> </mml:math>","year":2011,"lang":"en","type":"article","venue":"Respiratory Physiology & Neurobiology","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Earlobe; Arterial blood; Medicine; Internal medicine; Cardiology; Nuclear medicine; Surgery","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":[0.0001248879,0.0001668111,0.0001734907,0.0004640215,0.0001837019,0.0003358893,0.00020353,0.0004966095,0.008975168],"category_scores_gemma":[0.0005630237,0.0001183863,0.0001301047,0.0002426656,0.0002487928,0.0003186393,0.0003235429,0.0008173465,0.001037402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009881386,"about_ca_system_score_gemma":0.0001557018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003171861,"about_ca_topic_score_gemma":0.002986612,"domain_scores_codex":[0.9999216,0.00000901264,0.000004336478,0.00001872357,0.00002030445,0.00002613286],"domain_scores_gemma":[0.9998429,0.00006043602,0.00001553912,0.00001101847,0.00002876278,0.00004141422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006200181,0.0001558811,0.02838324,0.000308081,0.00007466375,0.003183064,0.0005400924,0.0001505036,0.8995473,0.0006616214,0.00486331,0.05593203],"study_design_scores_gemma":[0.0001092434,0.00111003,0.5749987,0.0001248002,0.0001125765,0.006391284,0.0006622085,0.004245408,0.403854,0.0007298205,0.00761032,0.00005171817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667646,0.001537345,0.01543603,0.0004260076,0.0002175909,0.0001101068,0.004348957,0.0006780312,0.01048133],"genre_scores_gemma":[0.9846812,0.0009448535,0.005514747,0.0001888631,0.00008160708,0.0001103792,0.001528909,0.0001191949,0.006830226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008975168,"threshold_uncertainty_score":0.03002495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002029996669612,"score_gpt":0.2395305162118311,"score_spread":0.219510216245135,"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."}}