{"id":"W4392909164","doi":"10.3390/vision8010014","title":"Automated Analysis Pipeline for Extracting Saccade, Pupil, and Blink Parameters Using Video-Based Eye Tracking","year":2024,"lang":"en","type":"article","venue":"Vision","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Queen's University","funders":"Canadian Institutes of Health Research; Ontario Brain Institute","keywords":"Computer science; Saccade; Pipeline (software); Saccadic masking; Task (project management); Eye tracking; Artificial intelligence; Categorization; Computer vision; Eye movement","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002080879,0.001674503,0.001270701,0.003120909,0.0006917277,0.001342623,0.00148636,0.0008190137,0.01256874],"category_scores_gemma":[0.006051963,0.0006078737,0.001189931,0.001468418,0.0002807677,0.0009629582,0.001694756,0.001141826,0.01096058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000576398,"about_ca_system_score_gemma":0.002777493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006718481,"about_ca_topic_score_gemma":0.01348147,"domain_scores_codex":[0.9987495,0.0001087721,0.0001662352,0.0004552529,0.0004086804,0.0001115642],"domain_scores_gemma":[0.9966988,0.0006597521,0.0002138355,0.0004962904,0.001757037,0.0001742291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00118575,0.0004069936,0.02428773,0.001516275,0.0004176107,0.0007131842,0.0008079693,0.003655232,0.1755956,0.002393067,0.107452,0.6815686],"study_design_scores_gemma":[0.0005671512,0.00132133,0.2130712,0.000635046,0.0006621507,0.002742753,0.0009723063,0.2513256,0.2873904,0.01933226,0.2213764,0.0006034505],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03249662,0.0009767498,0.832157,0.0005586629,0.0003123481,0.002934444,0.03824314,0.08795559,0.004365466],"genre_scores_gemma":[0.1109087,0.000927751,0.8067825,0.000545699,0.0002312512,0.007136206,0.06028795,0.003835545,0.009344529],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01256874,"threshold_uncertainty_score":0.04204661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910883125487793,"score_gpt":0.3706437014384161,"score_spread":0.3415348701835381,"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."}}