{"id":"W6926189482","doi":"10.21227/3q5g-pc82","title":"ExoNet Database: Wearable Camera Images of Human Locomotion Environments","year":2020,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","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","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":[0.0005768583,0.002674724,0.001596334,0.002770838,0.000661333,0.001006349,0.003077139,0.001709914,0.01317162],"category_scores_gemma":[0.001672293,0.0005852121,0.001277203,0.003340257,0.0003635067,0.001309021,0.002223343,0.001260867,0.0181812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009685617,"about_ca_system_score_gemma":0.00130587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02488141,"about_ca_topic_score_gemma":0.04859768,"domain_scores_codex":[0.9990839,0.0000845605,0.0001049666,0.0002827468,0.0002951114,0.0001487916],"domain_scores_gemma":[0.9992822,0.0000611543,0.00007567568,0.0002262016,0.0002655872,0.000089193],"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":[0.0006310479,0.0002933807,0.004003385,0.001834851,0.0001749826,0.0003658795,0.00007614417,0.001909492,0.005611623,0.0004936496,0.906215,0.07839063],"study_design_scores_gemma":[0.0005508912,0.0005388497,0.09859651,0.001187476,0.0002960644,0.003573576,0.0009413534,0.0278011,0.0284217,0.002278081,0.8354546,0.0003598112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01174056,0.001443554,0.004979368,0.0002638735,0.0002826571,0.0004214087,0.9696838,0.006835358,0.004349364],"genre_scores_gemma":[0.007509258,0.0002878427,0.004842131,0.00007992675,0.00001920316,0.0002499139,0.9853585,0.000111979,0.001541266],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02488141,"threshold_uncertainty_score":0.04947317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683451972214992,"score_gpt":0.2952990146040357,"score_spread":0.2684644948818858,"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."}}