{"id":"W4310881526","doi":"10.1145/3563357.3564054","title":"TEA-bot","year":2022,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ceiling (cloud); HVAC; Leak; Computer science; Robot; Point cloud; Artificial intelligence; Computer vision; Real-time computing; RGB color model; Unmanned ground vehicle; Convolutional neural network; Simulation; Engineering; Air conditioning; Mechanical engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002751694,0.0008870977,0.0003935345,0.000339986,0.0003549339,0.0006076568,0.001763356,0.0008607731,0.01050645],"category_scores_gemma":[0.001035841,0.0003816734,0.0006945285,0.0001973959,0.0004087529,0.001454999,0.001538121,0.0009893713,0.006166432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003516008,"about_ca_system_score_gemma":0.0005324596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002411793,"about_ca_topic_score_gemma":0.00379209,"domain_scores_codex":[0.9997143,0.00003024288,0.00001337913,0.00009980242,0.00008617614,0.00005609819],"domain_scores_gemma":[0.9996837,0.00006738745,0.00002996635,0.000104528,0.00007147537,0.00004300553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001192939,0.0006577735,0.007390495,0.001338786,0.0002148511,0.001195456,0.0004958052,0.1003537,0.113899,0.03308441,0.1926661,0.5475107],"study_design_scores_gemma":[0.0001339748,0.0005148768,0.002379917,0.00009896568,0.00006326009,0.0009095239,0.0001295138,0.7188559,0.04304212,0.01366042,0.2201168,0.00009470923],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03062807,0.0005691834,0.7686962,0.0005920079,0.0005032972,0.0004515655,0.00196742,0.1656607,0.03093155],"genre_scores_gemma":[0.3730638,0.0007063289,0.5601963,0.00148141,0.00009159271,0.0008093692,0.007690129,0.006930029,0.04903098],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9894935,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812638630745297,"score_gpt":0.2628327379344472,"score_spread":0.2447063516269942,"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."}}