{"id":"W6925934292","doi":"10.21227/nsjq-k919","title":"ExoNet Database: Wearable Camera Images of Human Locomotion Environments","year":2020,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wearable computer; Exoskeleton; Robotics; RGB color model; Drone; Wearable technology; Humanoid robot","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002542931,0.0003536856,0.0003879266,0.00006871031,0.00008245101,0.00002778715,0.000803838,0.0003214137,0.0002239333],"category_scores_gemma":[0.0000817677,0.0003671571,0.0000970968,0.00006944422,0.0001587012,0.00001297354,0.0004791329,0.0004363443,0.0003550375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001749454,"about_ca_system_score_gemma":0.00007434772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001943215,"about_ca_topic_score_gemma":0.00002147122,"domain_scores_codex":[0.9982046,0.00007167835,0.0005872936,0.0004870527,0.0003790444,0.0002703478],"domain_scores_gemma":[0.9976884,0.00000815891,0.0005987582,0.00156305,0.00002247746,0.0001191231],"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":[0.00001747025,0.0000847445,0.00007396892,0.0003167448,0.00009615625,0.00001363385,0.000004596882,0.00003607319,0.0741009,4.890894e-7,0.9251501,0.0001051116],"study_design_scores_gemma":[0.0002981625,0.0002568072,0.0001020145,0.0000731355,0.00009903832,0.00001852267,0.000009044758,0.00001645241,0.03840195,0.000001293513,0.9603934,0.0003301462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004454588,0.0001244596,0.0006939633,0.0000232723,0.0002451625,0.0002724992,0.9980103,0.000009450991,0.0001754343],"genre_scores_gemma":[0.0004484915,0.0009333659,0.0008398202,0.0002310525,0.0003575313,0.00001834952,0.9966516,0.00003374347,0.0004859794],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03569895,"threshold_uncertainty_score":0.999878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326760484314574,"score_gpt":0.2763571578649286,"score_spread":0.2630895530217828,"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."}}