{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008878625,0.004548786,0.00157489,0.004029675,0.001005003,0.00230847,0.004769379,0.002867395,0.02053451],"category_scores_gemma":[0.003491116,0.0007996621,0.002185715,0.0038939,0.0005061913,0.002404977,0.00180738,0.002312414,0.03062143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002079744,"about_ca_system_score_gemma":0.001477591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03994491,"about_ca_topic_score_gemma":0.09839477,"domain_scores_codex":[0.9987115,0.0001546303,0.0001051472,0.0004819364,0.0003761741,0.0001705975],"domain_scores_gemma":[0.9992087,0.0001794048,0.00005275325,0.0002643109,0.0002201449,0.00007465535],"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":[0.0003501308,0.0002477709,0.001917213,0.001282595,0.0001399882,0.0001499857,0.00006964415,0.006338343,0.001370197,0.001600363,0.9339455,0.0525883],"study_design_scores_gemma":[0.000314052,0.0004014775,0.01125797,0.0006513374,0.0001550885,0.0008921119,0.000411833,0.06932105,0.009567842,0.008835475,0.8980073,0.0001843955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01163308,0.001872678,0.009072069,0.0004825056,0.0007826493,0.0004221544,0.9286913,0.03230201,0.0147416],"genre_scores_gemma":[0.007536605,0.0002902787,0.007201245,0.0001451805,0.0000273772,0.0002548476,0.9815812,0.000450119,0.002513153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03994491,"threshold_uncertainty_score":0,"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."}}