{"id":"W6926378850","doi":"10.21227/4cs1-wz59","title":"ExoNet Database: Wearable Camera Images of Human Locomotion Environments","year":2020,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wearable computer; Exoskeleton; Wearable technology; Scale (ratio); Image processing; Drone","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":[0.0006019452,0.002866746,0.001684911,0.003143788,0.0006715385,0.001160664,0.003087302,0.001975604,0.01652448],"category_scores_gemma":[0.001823136,0.0006202633,0.001333975,0.003709749,0.0003822169,0.001313628,0.002216526,0.001288509,0.02239231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100015,"about_ca_system_score_gemma":0.00122003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02386233,"about_ca_topic_score_gemma":0.04577124,"domain_scores_codex":[0.9990543,0.00008855131,0.0001132964,0.0002973196,0.0002864327,0.0001601614],"domain_scores_gemma":[0.9992261,0.00007718799,0.00008120086,0.0002499217,0.0002704249,0.00009512193],"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":[0.000631222,0.0002429401,0.003205665,0.001771257,0.0001510684,0.0004082516,0.00007764818,0.0015513,0.005706418,0.0004409717,0.9259036,0.05990968],"study_design_scores_gemma":[0.0005424907,0.0004434103,0.07319258,0.001060792,0.0002576884,0.003949881,0.0008641392,0.02225787,0.02618338,0.002076013,0.8688293,0.0003425331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00753427,0.001137932,0.00383413,0.0002213993,0.000222396,0.0003090892,0.9775041,0.005972152,0.003264513],"genre_scores_gemma":[0.006207142,0.0002641528,0.004015719,0.00007120916,0.00001883119,0.0002161662,0.9878253,0.0001283119,0.00125314],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02386233,"threshold_uncertainty_score":0.05527991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651119665482119,"score_gpt":0.2776580928997492,"score_spread":0.251146896244928,"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."}}