{"id":"W6920325247","doi":"10.60692/wv258-6e946","title":"Yoga for all: A Comprehensive Collection of Yoga Images and Videos dataset","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Abbott (Canada)","funders":"","keywords":"Focus (optics); Sequence (biology); Visualization; Variety (cybernetics); Pattern recognition (psychology)","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":[],"consensus_categories":[],"category_scores_codex":[0.000199656,0.00009548161,0.0001493364,0.0003532877,0.0001425743,0.0001499199,0.0001368714,0.00005173919,0.000006812219],"category_scores_gemma":[0.00001190658,0.00008640929,0.00003709981,0.0003093981,0.00001948551,0.001241115,0.00007535135,0.00003682815,0.0002120383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002605509,"about_ca_system_score_gemma":0.0000187703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007503987,"about_ca_topic_score_gemma":2.005448e-7,"domain_scores_codex":[0.9991781,0.00003785506,0.0003590057,0.0001275908,0.0001588258,0.0001386157],"domain_scores_gemma":[0.9992802,0.00002495294,0.0002327939,0.0002155303,0.0001998611,0.00004661956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006430089,0.00003670231,0.02436613,0.01048767,0.000865193,0.00002309381,0.3081776,0.001024329,0.0006000949,0.009750474,0.6109189,0.03310684],"study_design_scores_gemma":[0.01608241,0.001322716,0.1981517,0.001212213,0.00028324,0.0005200564,0.04647588,0.5272831,0.06031381,0.0003484713,0.145879,0.002127412],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3389002,0.000005271961,0.652375,0.0003085549,0.0009587455,0.00144659,0.004307734,0.0008092146,0.0008887342],"genre_scores_gemma":[0.9976007,7.999477e-7,0.001364633,0.0001672251,0.00003169505,0.00027525,0.0004823738,0.000004284506,0.00007306698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6587005,"threshold_uncertainty_score":0.3523669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06046433704614786,"score_gpt":0.256928624176805,"score_spread":0.1964642871306571,"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."}}