{"id":"W6888547327","doi":"10.21227/18dx-ab15","title":"Wearable RGB Camera Images of Human Locomotion Environments","year":2019,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"RGB color model; Wearable computer; Robot vision; Robot; Robotics; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004058629,0.002925611,0.001399292,0.002673413,0.0005651267,0.0008638371,0.001885843,0.001320737,0.01543609],"category_scores_gemma":[0.001071841,0.0004690648,0.001173023,0.003667503,0.0003930638,0.0006788351,0.001588,0.001027235,0.02835506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006727102,"about_ca_system_score_gemma":0.0009725299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0154855,"about_ca_topic_score_gemma":0.03849886,"domain_scores_codex":[0.9990953,0.00008124275,0.0000855731,0.0002871781,0.0002833747,0.0001673814],"domain_scores_gemma":[0.9993947,0.00004194177,0.00004641078,0.0001842594,0.0002713759,0.00006123116],"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":[0.0008000973,0.0005135722,0.004907097,0.002317288,0.000191407,0.0003871167,0.0001024864,0.002327198,0.008717602,0.0004170959,0.8837613,0.09555773],"study_design_scores_gemma":[0.0004242905,0.0006570368,0.1089224,0.001246556,0.0002688646,0.002734435,0.0008720222,0.01344722,0.02600601,0.001930494,0.8432137,0.0002770442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01208291,0.001203378,0.004305159,0.0001565344,0.0003208084,0.000355581,0.9717236,0.004258505,0.00559349],"genre_scores_gemma":[0.01326215,0.0004614246,0.004739931,0.00007783771,0.00003891212,0.0003514572,0.9778739,0.0001313086,0.003063156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0154855,"threshold_uncertainty_score":0.05163884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03192265752821018,"score_gpt":0.3020949173865595,"score_spread":0.2701722598583494,"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."}}