{"id":"W6907449348","doi":"10.21227/x502-az66","title":"Wearable RGB Camera Images of Human Locomotion Environments","year":2020,"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":"Wearable computer; RGB color model; Robot vision; Image (mathematics); Augmented reality; Wearable technology","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":[0.0004965821,0.003178825,0.001429658,0.002475549,0.0006673457,0.0009158647,0.00220356,0.001380714,0.01931099],"category_scores_gemma":[0.001135001,0.00049494,0.001261922,0.003624478,0.0004276661,0.0007299686,0.001676538,0.001176866,0.03584855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007361342,"about_ca_system_score_gemma":0.001015157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01715082,"about_ca_topic_score_gemma":0.0442869,"domain_scores_codex":[0.9989399,0.0001086857,0.0000926441,0.000313959,0.0003431399,0.0002015406],"domain_scores_gemma":[0.9993479,0.00004472856,0.00004710493,0.0001973332,0.0002880973,0.00007497585],"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":[0.0007083476,0.0005143152,0.00374754,0.001973561,0.0001571131,0.0002738403,0.00008401762,0.001795749,0.006661571,0.0003828562,0.9132109,0.07049026],"study_design_scores_gemma":[0.0004156371,0.0006893931,0.09744515,0.001064208,0.0002142725,0.002179084,0.0007651187,0.01088038,0.02167977,0.001621732,0.8627788,0.0002663655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009855905,0.0009668501,0.003102928,0.000145737,0.0003043872,0.0003216608,0.9759851,0.003687122,0.005630365],"genre_scores_gemma":[0.009645095,0.0003257165,0.003357811,0.00007304399,0.00003137361,0.0002862265,0.9833673,0.000113813,0.002799578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01931099,"threshold_uncertainty_score":0.06460166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912288015902021,"score_gpt":0.289196636759616,"score_spread":0.2600737566005958,"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."}}