{"id":"W6888516965","doi":"10.21227/axjd-jm12","title":"ExoNet Database: Wearable 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; Robotics; Exoskeleton; Drone; Wearable technology; Scale (ratio); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005886015,0.002921693,0.001779778,0.00311786,0.0006809699,0.001080463,0.003168987,0.001897892,0.0171332],"category_scores_gemma":[0.001984269,0.0006120854,0.001320561,0.003531098,0.0003526957,0.001440861,0.002351475,0.001275065,0.0220766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000987631,"about_ca_system_score_gemma":0.001283897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02648623,"about_ca_topic_score_gemma":0.05333736,"domain_scores_codex":[0.9989961,0.00009451666,0.0001168217,0.0003077822,0.0003213715,0.0001633522],"domain_scores_gemma":[0.9991329,0.00008372192,0.00008567097,0.0002659231,0.0003292543,0.0001025448],"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":[0.0005750332,0.0002367571,0.003119897,0.001878165,0.0001600498,0.0003575219,0.00006964437,0.001515672,0.004611387,0.0004216213,0.9169472,0.07010707],"study_design_scores_gemma":[0.0005238951,0.0004852748,0.08615385,0.001393487,0.000292147,0.004009895,0.000948414,0.02486071,0.02534386,0.002267187,0.853353,0.0003683323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009429676,0.001590995,0.004859178,0.0002603535,0.0002817572,0.0004106657,0.9719642,0.007018914,0.004184304],"genre_scores_gemma":[0.00740994,0.0003393317,0.004837769,0.00008303635,0.00002286847,0.0002807046,0.985208,0.0001365552,0.001681778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02648623,"threshold_uncertainty_score":0.0573163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03547658380699165,"score_gpt":0.2946433793785168,"score_spread":0.2591667955715252,"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."}}