{"id":"W6888514295","doi":"10.21227/12jm-e336","title":"StairNet","year":2022,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Wearable computer; Perspective (graphical); Focus (optics); Annotation; Parsing; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009597574,0.0006303653,0.0006881058,0.0004749081,0.0002165837,0.0001089202,0.002728127,0.0002834262,0.4080619],"category_scores_gemma":[0.0001202789,0.0006940652,0.0001619099,0.0006027232,0.0001312543,0.0002926541,0.0009016924,0.001513066,0.0523751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004176116,"about_ca_system_score_gemma":0.0006485694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0023303,"about_ca_topic_score_gemma":0.0006297056,"domain_scores_codex":[0.9957171,0.0001681596,0.0006553318,0.001170758,0.001554315,0.0007343454],"domain_scores_gemma":[0.9943442,0.00006663209,0.0005786173,0.004700147,0.00006015826,0.0002502614],"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":[0.00003975771,0.0001996898,0.000007618835,0.00009234321,0.0001503251,0.00146596,0.00000444395,0.00001261061,0.00001888482,0.000002705811,0.9979563,0.00004934536],"study_design_scores_gemma":[0.0002853795,0.00006900819,0.00001904749,0.00001457029,0.0002510741,0.0001375873,0.00001718193,0.000001159435,0.0000164647,0.00001491784,0.9984174,0.0007562143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001147898,0.0001049759,0.000001232423,0.00001366103,0.003092615,0.0004824932,0.995564,0.0002613456,0.0004681313],"genre_scores_gemma":[8.2798e-7,0.00008466836,0.00002384866,0.0004272297,0.0006283218,0.0002297466,0.9968678,0.000196486,0.001541083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3556868,"threshold_uncertainty_score":0.9995511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0359131894108391,"score_gpt":0.3080181342806364,"score_spread":0.2721049448697973,"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."}}