{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007153603,0.002905649,0.001183667,0.003039103,0.0007232601,0.001094785,0.002427476,0.001508995,0.008784123],"category_scores_gemma":[0.001597118,0.0005020179,0.001216806,0.003442384,0.0004227137,0.000968996,0.001860425,0.001404109,0.0181726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233491,"about_ca_system_score_gemma":0.00116384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03125174,"about_ca_topic_score_gemma":0.06335115,"domain_scores_codex":[0.998825,0.0001110228,0.0001147958,0.0002926552,0.00041082,0.0002457136],"domain_scores_gemma":[0.9991838,0.00006857556,0.00007509298,0.0002677616,0.0003352154,0.00006956015],"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":[0.0004420824,0.0003636112,0.004745759,0.001525187,0.0001161702,0.0002292931,0.00006493541,0.002452151,0.004375623,0.0005172387,0.9194703,0.06569768],"study_design_scores_gemma":[0.0003458198,0.000240649,0.08977354,0.0008645796,0.000146185,0.001061043,0.0006538209,0.01954125,0.01961732,0.002970066,0.8645628,0.0002229289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00753158,0.001046119,0.00343828,0.0002573521,0.0002629869,0.0002562596,0.9788493,0.004683694,0.003674416],"genre_scores_gemma":[0.007445795,0.0002635355,0.004545398,0.00006122165,0.00002430046,0.0002512034,0.985998,0.0001144422,0.001296089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03125174,"threshold_uncertainty_score":0.06213963,"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."}}