{"id":"W3108366157","doi":"10.3389/frobt.2020.562061","title":"ExoNet Database: Wearable Camera Images of Human Locomotion Environments","year":2020,"lang":"en","type":"article","venue":"Frontiers in Robotics and AI","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Wearable computer; Artificial intelligence; Computer vision; Robot; Front (military); Human–computer interaction; Computer graphics (images); 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":[0.0002481002,0.00219673,0.001446537,0.001924623,0.00039015,0.0008578839,0.001581154,0.001421435,0.05687188],"category_scores_gemma":[0.001046424,0.0006122718,0.0007419208,0.002266992,0.0001850974,0.001081592,0.001277656,0.0007440424,0.04873017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002942432,"about_ca_system_score_gemma":0.00052875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006391109,"about_ca_topic_score_gemma":0.01729885,"domain_scores_codex":[0.9996893,0.00002352162,0.00003094519,0.0001175011,0.00009574828,0.00004298138],"domain_scores_gemma":[0.9996423,0.00004060919,0.00003100251,0.0001256891,0.0001123675,0.00004808472],"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":[0.0009665275,0.0002319868,0.002109671,0.001993946,0.0001688843,0.0003983437,0.00008059636,0.001724101,0.01206153,0.000587208,0.8564782,0.123199],"study_design_scores_gemma":[0.0007477312,0.0005570366,0.07231808,0.0009281522,0.0002615032,0.003446168,0.0005520546,0.02409952,0.03187785,0.004538858,0.8603328,0.0003401873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008282323,0.001491949,0.01584622,0.0001710879,0.0002768869,0.0002908371,0.9423211,0.02221722,0.009102463],"genre_scores_gemma":[0.02410615,0.0006571585,0.01376419,0.0001022703,0.00005741502,0.0003670529,0.9550688,0.0009939229,0.004883057],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05687188,"threshold_uncertainty_score":0.1902554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008613979367294262,"score_gpt":0.2099007657544328,"score_spread":0.2012867863871385,"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."}}