{"id":"W6925934292","doi":"10.21227/nsjq-k919","title":"ExoNet Database: Wearable Camera Images of Human Locomotion Environments","year":2020,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wearable computer; Exoskeleton; Robotics; RGB color model; Drone; Wearable technology; 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":[0.0005096411,0.002359919,0.001407725,0.002392997,0.0005850435,0.0009257729,0.002938772,0.001657802,0.01434899],"category_scores_gemma":[0.001617215,0.0005384499,0.001151226,0.002975102,0.0003263374,0.001168548,0.002086966,0.001161302,0.01817293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008978102,"about_ca_system_score_gemma":0.001098864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02083491,"about_ca_topic_score_gemma":0.04066692,"domain_scores_codex":[0.9992892,0.00006605199,0.00008331952,0.0002300227,0.0002116259,0.0001197298],"domain_scores_gemma":[0.9993935,0.0000602592,0.00006439842,0.0001942142,0.0002078325,0.0000797778],"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":[0.0007101172,0.0002693612,0.004227663,0.001898751,0.0001649496,0.0004073037,0.00007397403,0.001974254,0.005187323,0.0005842543,0.9153429,0.06915918],"study_design_scores_gemma":[0.0006381032,0.0005001578,0.09192084,0.001074624,0.0002668837,0.003977724,0.0007749407,0.0273858,0.02609839,0.002628322,0.844396,0.0003381709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01048791,0.001146872,0.00390417,0.0002203512,0.0002029867,0.0003156255,0.9747329,0.005517131,0.003472071],"genre_scores_gemma":[0.007424578,0.0002373139,0.003982439,0.00006591742,0.00001494211,0.0002118787,0.9867607,0.00009539825,0.001206847],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02083491,"threshold_uncertainty_score":0.04800212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326760484314574,"score_gpt":0.2763571578649286,"score_spread":0.2630895530217828,"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."}}