{"id":"W6888494748","doi":"10.21227/h0n0-ek30","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; RGB color model; Drone; Wearable technology; Robot; 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":[0.0006202644,0.003117223,0.001875304,0.003223302,0.0007147201,0.001145514,0.003520938,0.001984269,0.01778653],"category_scores_gemma":[0.002089069,0.0006480261,0.001405739,0.00374118,0.000369811,0.001545164,0.002463233,0.0013419,0.02275635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068153,"about_ca_system_score_gemma":0.001368247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02855177,"about_ca_topic_score_gemma":0.05490045,"domain_scores_codex":[0.9989525,0.00009856866,0.0001243693,0.0003154413,0.0003435049,0.0001656063],"domain_scores_gemma":[0.9991037,0.00008701456,0.00008900392,0.0002823251,0.0003330904,0.0001047781],"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":[0.0005606495,0.0002347141,0.002785803,0.001826895,0.0001590998,0.0003436863,0.00006321778,0.001510001,0.004084536,0.0004374595,0.9214166,0.0665774],"study_design_scores_gemma":[0.0005532857,0.0004712462,0.07937933,0.001380597,0.0002967704,0.003885356,0.0008800785,0.02401433,0.02326202,0.002327664,0.8631827,0.0003665296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008471574,0.001558425,0.004454078,0.000251322,0.0002688345,0.0004003347,0.9738763,0.006683759,0.004035421],"genre_scores_gemma":[0.006195039,0.000315347,0.004174296,0.00007564589,0.00002027441,0.0002618495,0.9872882,0.0001223796,0.001546936],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02855177,"threshold_uncertainty_score":0.05950189,"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."}}