{"id":"W6963315246","doi":"10.21227/cne9-9h18","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":[0.0003878118,0.002884438,0.001317628,0.002622847,0.0005351507,0.0007803533,0.001774023,0.001213332,0.01433697],"category_scores_gemma":[0.0009492668,0.000427801,0.00115302,0.003513304,0.0003777382,0.0005990518,0.001412928,0.0009382037,0.02458135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006564939,"about_ca_system_score_gemma":0.0009040457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0153505,"about_ca_topic_score_gemma":0.03902178,"domain_scores_codex":[0.9991423,0.00007891557,0.00007900473,0.0002679024,0.0002690705,0.0001627833],"domain_scores_gemma":[0.9994488,0.00003626369,0.00004287652,0.000161384,0.0002512806,0.0000593848],"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":[0.0009752047,0.0005925106,0.005466291,0.00230245,0.0001971779,0.0004539182,0.0001083626,0.002615639,0.01050879,0.0003981928,0.8764883,0.09989327],"study_design_scores_gemma":[0.0005113002,0.0008434545,0.1359364,0.001206356,0.0002914808,0.003182398,0.0009912242,0.01637344,0.03254764,0.001947594,0.8058501,0.0003185396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0157974,0.001159355,0.004751607,0.0001647751,0.000324503,0.0004331568,0.9670421,0.004536999,0.005790069],"genre_scores_gemma":[0.01606333,0.0004656704,0.005599466,0.000083903,0.00004025963,0.0004149289,0.973708,0.0001336869,0.00349078],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0153505,"threshold_uncertainty_score":0.04796195,"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."}}