{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001864601,0.00008757832,0.0001675379,0.00009637844,0.0001285975,0.00004309417,0.00004136745,0.00002692595,0.0001915693],"category_scores_gemma":[5.855833e-7,0.00005541581,0.0000705233,0.00009465166,0.00003349997,0.0002643875,0.00001798654,0.0002494029,0.000004947543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001440669,"about_ca_system_score_gemma":0.00003782241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001924726,"about_ca_topic_score_gemma":4.675303e-8,"domain_scores_codex":[0.9993662,0.000005232281,0.0002741175,0.00008565149,0.0001496777,0.000119161],"domain_scores_gemma":[0.9997514,0.00001557075,0.00009058473,0.00004115643,0.00003457754,0.00006667094],"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":[0.00002412277,0.00002525664,0.02552624,0.00003216344,0.0000442994,0.00001143853,0.001165621,0.0001346439,0.0001080241,0.0005295747,0.001298675,0.9711],"study_design_scores_gemma":[0.001248662,0.002651956,0.2268033,0.004265035,0.0002483336,0.00008852428,0.002395349,0.01178432,0.0004377573,0.001759488,0.7477627,0.0005545887],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990532,0.003220369,0.001564655,0.0001750642,0.0007768621,0.00002981449,0.000001297165,0.000008095692,0.003691875],"genre_scores_gemma":[0.9980209,0.0005478662,0.0003752054,0.000007322918,0.00048377,4.093504e-7,0.000001134858,0.000006369969,0.0005569556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9705454,"threshold_uncertainty_score":0.2259791,"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."}}