{"id":"W6964987497","doi":"10.26126/intervals.eyms8m","title":"Lung function [Individual measurements]","year":2019,"lang":"en","type":"dataset","venue":"INTERVALS","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lung function; Lung; Cigarette smoke; In vivo; Function (biology); Aerosol","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00133555,0.0002788688,0.0003113543,0.0002161539,0.0001153136,0.0006492205,0.00196853,0.0002387435,0.0001334471],"category_scores_gemma":[0.0001594574,0.000258821,0.0001881458,0.0001597771,0.0000192535,0.0002845103,0.0005770273,0.0008287774,0.00164619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008064704,"about_ca_system_score_gemma":0.00007401212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001514483,"about_ca_topic_score_gemma":0.00001331884,"domain_scores_codex":[0.9976996,0.0003116848,0.0003270721,0.00060171,0.0006930503,0.0003669462],"domain_scores_gemma":[0.998334,0.00008800468,0.000282314,0.001145454,0.00007171572,0.00007851669],"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":[0.000003386175,0.00004046071,0.00003989903,0.0000801718,0.0001231417,0.000004454728,0.00009998267,0.00002370621,0.000001955734,0.00001552108,0.9403094,0.0592579],"study_design_scores_gemma":[0.0001650358,0.000147946,0.0001674251,0.0002369181,0.0000736718,0.000009595375,0.000006634231,0.0001071446,0.0000057661,0.00001315381,0.9987877,0.0002790059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002686296,0.001168037,0.1662288,0.0004217626,0.01011376,0.0004494887,0.8209071,0.0005117528,0.0001723969],"genre_scores_gemma":[0.0006289923,0.000008179902,0.003959583,0.0007291434,0.0004371065,0.00003249432,0.9931434,0.00002304076,0.001038082],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1722362,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08594174022954287,"score_gpt":0.3201097267979268,"score_spread":0.2341679865683839,"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."}}