{"id":"W6969680865","doi":"10.5683/sp/bvkfmk","title":"Quon Sang Lung Laundry Shop--Fort MacLeod--Laser Scanning--2016","year":2018,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Laundry; Lung; Patient data; Computed tomography; Scanner","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":[0.001008705,0.005450761,0.00241548,0.002791837,0.001308334,0.00259207,0.004617157,0.002830723,0.04235883],"category_scores_gemma":[0.002685339,0.001058019,0.001684239,0.003706334,0.0008537173,0.002223874,0.002666778,0.001731141,0.08855668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002260713,"about_ca_system_score_gemma":0.002038421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07093032,"about_ca_topic_score_gemma":0.1969019,"domain_scores_codex":[0.9985437,0.0001403204,0.0000800834,0.0004415912,0.000494457,0.0002997761],"domain_scores_gemma":[0.9990073,0.0000863611,0.0000651909,0.0003530867,0.0003478726,0.0001402675],"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":[0.0001395331,0.00003420528,0.0006195693,0.0003927746,0.00002959763,0.00004738848,0.00002972895,0.0003257499,0.0004876879,0.0002210508,0.9912288,0.006443875],"study_design_scores_gemma":[0.000177885,0.00006977041,0.007295093,0.0003065656,0.00004700511,0.0003254668,0.000206059,0.002936459,0.002816681,0.001639892,0.984084,0.00009516842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001088978,0.0003891568,0.0006991481,0.0001679923,0.0001915087,0.00006933809,0.9859989,0.007202011,0.004193037],"genre_scores_gemma":[0.001440004,0.00008967333,0.00102103,0.00004908794,0.00001768081,0.00003965312,0.9958553,0.0002603671,0.001227209],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07093032,"threshold_uncertainty_score":0.1417044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683674285952094,"score_gpt":0.2889634867572804,"score_spread":0.2721267438977595,"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."}}