{"id":"W6966973991","doi":"10.5061/dryad.245j1p8","title":"Data from: Predicted tracking error triggers catch-up saccades during smooth pursuit","year":2019,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Smooth pursuit; Saccade; Saccadic masking; Eye movement; Probabilistic logic; Eye tracking; Position (finance); Gaze","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":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001028672,0.001457396,0.001808216,0.0009191438,0.0003257853,0.0007081708,0.00866299,0.001445781,0.003488892],"category_scores_gemma":[0.001282121,0.001512913,0.000293276,0.0009376907,0.0002779403,0.001413099,0.002530065,0.002575867,0.03871835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006753179,"about_ca_system_score_gemma":0.0006590427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003063995,"about_ca_topic_score_gemma":0.001960229,"domain_scores_codex":[0.9914043,0.0004444182,0.001397364,0.002989138,0.00214992,0.001614862],"domain_scores_gemma":[0.9882285,0.0004831978,0.001417439,0.009209231,0.0001778375,0.0004837647],"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":[0.0003561214,0.0001865824,0.0001700797,0.0004759981,0.0006812816,0.0001832401,0.0001155187,0.00002922766,0.001847992,2.724331e-7,0.9957489,0.0002047309],"study_design_scores_gemma":[0.002808247,0.00004358332,0.00441824,0.0009519077,0.001206104,0.0000117273,0.0001413611,0.0001973561,0.000367079,0.00001043923,0.9882599,0.001584048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0137891,0.001269757,0.000002774101,0.00006971951,0.003527719,0.001557316,0.9790074,0.0006476418,0.0001285283],"genre_scores_gemma":[0.0009350303,0.0002975594,0.0001009549,0.000127562,0.001743405,0.00008183978,0.9950029,0.0005713809,0.001139384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03522946,"threshold_uncertainty_score":0.9998506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155045427873658,"score_gpt":0.3429974034845604,"score_spread":0.2274928606971947,"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."}}