{"id":"W3093606946","doi":"10.1101/2020.10.23.352054","title":"ExoNet Database: Wearable Camera Images of Human Locomotion Environments","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wearable computer; Computer science; Artificial intelligence; Exoskeleton; Computer vision; Robot; Scale (ratio); RGB color model; Robotics; Simulation; Embedded system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00033854,0.001333909,0.0009548795,0.002170586,0.000370137,0.0007048109,0.0014159,0.0009737311,0.01157953],"category_scores_gemma":[0.001164409,0.0004846555,0.0007591376,0.002177058,0.0002361309,0.0009879034,0.001246461,0.0005821868,0.007948478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004655704,"about_ca_system_score_gemma":0.0006358224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008877177,"about_ca_topic_score_gemma":0.01747484,"domain_scores_codex":[0.9994405,0.0000444424,0.00005641563,0.0002383321,0.0001481535,0.00007217038],"domain_scores_gemma":[0.9994572,0.00005260694,0.00005456095,0.0001923768,0.0001884684,0.00005483188],"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":[0.00174007,0.0005116896,0.008975299,0.002638751,0.0003238198,0.001063891,0.000216446,0.008876166,0.05060322,0.001332822,0.6420031,0.2817147],"study_design_scores_gemma":[0.0005994771,0.0008218281,0.2100201,0.0009417904,0.000374891,0.00757326,0.001064672,0.1244377,0.1132825,0.005075264,0.5353354,0.0004730546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07869751,0.002084836,0.06021318,0.0003263058,0.0004418308,0.0009460147,0.8209139,0.02473674,0.01163965],"genre_scores_gemma":[0.08455113,0.0006099708,0.04337568,0.0001566321,0.00005124235,0.000573938,0.8654,0.0006337323,0.004647783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01157953,"threshold_uncertainty_score":0.03873742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127802929200445,"score_gpt":0.2102697005597998,"score_spread":0.1974894076397553,"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."}}