{"id":"W6926042316","doi":"10.21227/1xq2-8n57","title":"Environment Recognition and Wearable RGB Camera Sensors: Implications for Autonomous Lower-Limb Biomechatronic Devices","year":2019,"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":"RGB color model; Wearable computer; Robot vision; Robotics; Wearable technology; Robot","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002873621,0.0003694926,0.0005753193,0.0001905039,0.0001401339,0.0000612802,0.0002044817,0.0003819201,0.0004626449],"category_scores_gemma":[0.00005692795,0.000307575,0.0001261225,0.00009361631,0.0000880421,0.0001432973,0.00008249687,0.0003235307,0.0007917314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434129,"about_ca_system_score_gemma":0.0001791112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002918364,"about_ca_topic_score_gemma":0.00002943206,"domain_scores_codex":[0.9980982,0.00002452862,0.0004456376,0.0008926966,0.0001483648,0.0003905645],"domain_scores_gemma":[0.9982522,0.00008500606,0.0003226636,0.001127251,0.00006749177,0.0001454231],"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":[0.0001325776,0.000158288,0.00000467256,0.0006312588,0.0001613669,0.000006254488,0.000002987631,4.908376e-7,0.01599852,2.281475e-7,0.9754266,0.007476726],"study_design_scores_gemma":[0.0004595493,0.0004604034,0.0000990434,0.0002284842,0.0008272197,0.0001452571,0.000009661718,0.000004649461,0.004970612,0.00002495425,0.992389,0.0003812261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007133297,0.001126213,0.00001393915,0.001505943,0.0005161954,0.0017141,0.9879475,0.00003152721,0.00001128383],"genre_scores_gemma":[0.001030485,0.004081291,0.0005710337,0.000635148,0.0006705729,0.00003087778,0.9919998,0.00003732985,0.0009434336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01696231,"threshold_uncertainty_score":0.9999863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04418123590290008,"score_gpt":0.2790479676125314,"score_spread":0.2348667317096313,"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."}}