{"id":"W6925880546","doi":"10.21227/jbhk-7f41","title":"ExoNet Database: Wearable Camera Images of Human Locomotion Environments","year":2020,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wearable computer; RGB color model; Convolutional neural network; Upload; Exoskeleton; Wearable technology; Image (mathematics)","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":[0.0004396621,0.00280593,0.001564423,0.002176308,0.0005808347,0.0009101533,0.002903783,0.00158088,0.01630126],"category_scores_gemma":[0.00115021,0.0005749018,0.001153401,0.002822005,0.0003770352,0.001051621,0.001840505,0.001146222,0.02030003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008317739,"about_ca_system_score_gemma":0.0009843075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01740351,"about_ca_topic_score_gemma":0.03762887,"domain_scores_codex":[0.9993839,0.00005512588,0.00006811722,0.0002097184,0.0001729437,0.0001100686],"domain_scores_gemma":[0.9995593,0.00003941195,0.00004954206,0.0001399526,0.0001525225,0.00005913715],"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":[0.0006525555,0.0003363633,0.003382892,0.00185073,0.0001590238,0.0003844094,0.00008527043,0.001806807,0.005890203,0.0005405039,0.9292008,0.0557105],"study_design_scores_gemma":[0.0006102834,0.0005305448,0.07653289,0.0008767454,0.0002582945,0.003601969,0.0007965785,0.02044882,0.02451954,0.002311848,0.8691718,0.0003407228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01098296,0.0009249146,0.004468726,0.0001637481,0.0002035936,0.0003623058,0.973104,0.00568801,0.004101887],"genre_scores_gemma":[0.008162911,0.0002780959,0.003872202,0.00006992153,0.00001810808,0.0002854005,0.9856061,0.0001297799,0.00157745],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01740351,"threshold_uncertainty_score":0.05453312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723976305047508,"score_gpt":0.2846014349424688,"score_spread":0.2573616718919937,"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."}}