{"id":"W2762482610","doi":"10.15326/jcopdf.4.4.2017.0164","title":"The COPD Pipeline XXXVI","year":2017,"lang":"en","type":"article","venue":"Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Emera","keywords":"Pipeline (software); COPD; Medicine; Computer science; Internal medicine; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007148397,0.0005195475,0.0007067876,0.000195101,0.003306585,0.0005354332,0.002086081,0.0001630807,0.0005854169],"category_scores_gemma":[0.002102566,0.0003205111,0.0009527578,0.0003145578,0.002367604,0.001298358,0.0007513242,0.001072575,0.000129896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00316714,"about_ca_system_score_gemma":0.002854219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004676725,"about_ca_topic_score_gemma":0.0000251254,"domain_scores_codex":[0.9952669,0.0004031076,0.001123382,0.0005653389,0.001783865,0.0008574182],"domain_scores_gemma":[0.99306,0.0004417159,0.001994077,0.002247575,0.001586344,0.0006703206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006107141,0.00147025,0.22597,0.001229586,0.001496464,0.001148512,0.0002151728,0.0004453906,0.003802357,0.005508778,0.01058325,0.7420231],"study_design_scores_gemma":[0.002879329,0.0001897821,0.9327075,0.0005723013,0.0008646915,0.001250191,0.0004285458,0.003575632,0.0004715775,0.009536648,0.04715539,0.0003684367],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9085262,0.04150189,0.0007988543,0.02361237,0.00918349,0.003323256,0.000296166,0.0001129776,0.01264475],"genre_scores_gemma":[0.9901789,0.001442492,0.00009390416,0.000146202,0.003121054,0.00004509665,0.00005390249,0.00009382742,0.004824633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7416546,"threshold_uncertainty_score":0.9999247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911600881954305,"score_gpt":0.3069107439352964,"score_spread":0.2877947351157533,"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."}}