{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001439211,0.002865297,0.002012139,0.002158523,0.0006089201,0.001939483,0.002398432,0.002522181,0.03519141],"category_scores_gemma":[0.008427206,0.0004603136,0.002004473,0.002624748,0.0003903035,0.0009193237,0.001652527,0.001875307,0.05515448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007089235,"about_ca_system_score_gemma":0.001241363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005537677,"about_ca_topic_score_gemma":0.009286324,"domain_scores_codex":[0.9982834,0.0002347386,0.0002616426,0.0006685026,0.0003655816,0.0001860725],"domain_scores_gemma":[0.9968846,0.0009724456,0.0003675139,0.0009028989,0.0006698663,0.0002025088],"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":[0.0005448893,0.0001322597,0.008087127,0.002633818,0.0002744928,0.000113495,0.00002789964,0.001168549,0.0005903745,0.0002523557,0.9703311,0.01584372],"study_design_scores_gemma":[0.001205737,0.0002792956,0.04047688,0.001554675,0.0003889431,0.000712578,0.0001065132,0.003279988,0.00222608,0.002743721,0.946874,0.0001515211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000688704,0.0001820176,0.0002088068,0.0000533489,0.00005271993,0.00004364017,0.9978026,0.0004572513,0.0005110134],"genre_scores_gemma":[0.00187373,0.00009891982,0.0004713449,0.00007705623,0.00002347524,0.0002374101,0.9965983,0.00006952925,0.000550248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03519141,"threshold_uncertainty_score":0.117727,"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."}}