{"id":"W2079666530","doi":"10.1371/journal.pone.0097345","title":"Keeping Your Eye on the Rail: Gaze Behaviour of Horse Riders Approaching a Jump","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Jump; Gaze; Jumping; Eye movement; Fixation (population genetics); Eye tracking; Significant difference; Mathematics; Psychology; Statistics; Computer science; Medicine; Computer vision; Artificial intelligence; Physics; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001751312,0.0001864464,0.0002613771,0.0004542003,0.0002238887,0.0002273945,0.0001214353,0.0004243208,0.001699015],"category_scores_gemma":[0.001272007,0.0001480399,0.0002125146,0.0001747573,0.0001713154,0.0001617417,0.0002253919,0.0002529882,0.000431678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146874,"about_ca_system_score_gemma":0.00009285487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007238707,"about_ca_topic_score_gemma":0.01057548,"domain_scores_codex":[0.9998739,0.00002827728,0.000009683878,0.00003917874,0.0000252861,0.00002370649],"domain_scores_gemma":[0.9994572,0.0001404569,0.0001681367,0.00002706264,0.000130819,0.0000764024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001369561,0.0002022335,0.8155349,0.0002207179,0.0001572179,0.001158106,0.012431,0.0001804076,0.1484722,0.000031791,0.0004216351,0.0198201],"study_design_scores_gemma":[0.000003818252,0.0004546031,0.9963482,0.00001341708,0.00001886431,0.0004174346,0.001413517,0.0001301308,0.0009925985,0.000007261624,0.0001918472,0.000008390679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995938,0.00009246219,0.00007498679,0.00001054183,0.000001542452,0.00000436924,0.0000459325,0.000003801989,0.0001725292],"genre_scores_gemma":[0.9987181,0.0001227679,0.0001920218,0.00001799086,0.000004148316,0.000009832768,0.0000826409,0.000002689786,0.0008497732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007238707,"threshold_uncertainty_score":0.01439315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083503906216689,"score_gpt":0.3090796586112847,"score_spread":0.2007292679896158,"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."}}