{"id":"W6963565798","doi":"10.21227/xx3y-c205","title":"RGB Images from Wearable Cameras: Applications for Autonomous Lower-Limb Biomechatronic Device Control","year":2019,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; RGB color model; Wearable technology; Robot vision; Robotics; Control system; Image (mathematics); Assistive device","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002797977,0.0004579555,0.0005019038,0.0001215005,0.0001958011,0.0001469084,0.001562564,0.0002688008,0.007750296],"category_scores_gemma":[0.00001842405,0.0004522579,0.0001789006,0.0002417057,0.0001804027,0.0003851527,0.0002968723,0.0002837242,0.03884515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002562327,"about_ca_system_score_gemma":0.00007984137,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041895,"about_ca_topic_score_gemma":0.0008717733,"domain_scores_codex":[0.9975106,0.00003151459,0.0004689788,0.0009659898,0.0003694668,0.0006534201],"domain_scores_gemma":[0.9972577,0.0001394975,0.0003830887,0.002048634,0.00001338564,0.0001576764],"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":[0.00003688249,0.0001196224,0.0000547629,0.00007305612,0.0001019004,0.000007014896,0.000002753596,0.0002275145,0.0001539109,0.000003830512,0.9981735,0.001045219],"study_design_scores_gemma":[0.0006311113,0.0001192198,0.00008261066,0.00002325148,0.0003282467,0.000002096662,0.000003517665,0.0003497442,0.00004822917,0.00008671542,0.9978077,0.0005175642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008511196,0.0001910174,0.00157662,0.0001830252,0.0007458141,0.002343953,0.993936,0.00006496986,0.0008734811],"genre_scores_gemma":[0.0002910428,0.0002731679,0.0004648065,0.001171161,0.0005785165,0.0009330109,0.9900141,0.00004805412,0.006226132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03109485,"threshold_uncertainty_score":0.9997929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433630521582737,"score_gpt":0.2693846485767823,"score_spread":0.255048343360955,"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."}}