{"id":"W4401216738","doi":"10.22374/jspv.v6isp1.13","title":"STROBOSCOPIC VISION TRAINING","year":2024,"lang":"en","type":"article","venue":"Journal of Sports and Performance Vision","topic":"Historical Astronomy and Related Studies","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroboscope; Training (meteorology); Psychology; Optometry; Physical medicine and rehabilitation; Computer science; Computer vision; Artificial intelligence; Aeronautics; Medicine; Engineering; Optics; Geography; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003626357,0.0004287192,0.0003713964,0.0011765,0.0005627279,0.0004734162,0.0004882581,0.0005984565,0.01181771],"category_scores_gemma":[0.001492264,0.000114301,0.0003625906,0.0005407301,0.0007524409,0.0005560843,0.0009337986,0.001194137,0.003300864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004491807,"about_ca_system_score_gemma":0.0006130239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001999459,"about_ca_topic_score_gemma":0.002663845,"domain_scores_codex":[0.9996561,0.00005109332,0.00002398927,0.00007477571,0.0001384136,0.00005577651],"domain_scores_gemma":[0.9996493,0.00010222,0.00004923442,0.00003125998,0.0001039501,0.00006408679],"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":[0.001050446,0.002349195,0.003403991,0.002620003,0.0001308855,0.0004046356,0.000651878,0.0004014909,0.02307034,0.005986615,0.02750502,0.9324255],"study_design_scores_gemma":[0.0007834507,0.01280664,0.1262937,0.003635653,0.0002339488,0.006407471,0.001198049,0.001326331,0.03531029,0.01322915,0.7986154,0.0001599112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3947466,0.2601885,0.0498411,0.01701332,0.01058973,0.001787076,0.001840248,0.003117381,0.2608761],"genre_scores_gemma":[0.7771641,0.119708,0.0203789,0.006339342,0.002608521,0.0009902095,0.0009586362,0.0002873247,0.07156495],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01181771,"threshold_uncertainty_score":0.03953421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00757137448177389,"score_gpt":0.249696236651504,"score_spread":0.2421248621697301,"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."}}