{"id":"W4411400819","doi":"10.31234/osf.io/y5jmg_v1","title":"WITHDRAWN","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs; Max-Planck-Gesellschaft; University of Toronto","keywords":"Python (programming language); Computer science; Eye tracking; Preprocessor; Computer vision; Artificial intelligence; Eye movement; Computer graphics (images)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009085107,0.0001344575,0.0001725372,0.0001596032,0.00004364247,0.0001158691,0.00172984,0.0002254456,0.00001461649],"category_scores_gemma":[0.00002324727,0.0001159115,0.00006568665,0.0001564026,0.00004268787,0.00003362137,0.002710806,0.0004590174,0.00006404776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002733951,"about_ca_system_score_gemma":0.000167532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004711492,"about_ca_topic_score_gemma":0.000009821806,"domain_scores_codex":[0.9991258,0.0000202714,0.0001239063,0.0004736648,0.00009674991,0.0001595569],"domain_scores_gemma":[0.9988235,0.00003208931,0.0000525557,0.001009129,0.00005854649,0.00002415689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[4.149787e-7,0.00003201074,0.0005452142,0.00003847484,0.00002714676,0.00001232319,0.00003768957,0.00006802157,0.00001438754,0.9056314,0.01198458,0.08160838],"study_design_scores_gemma":[0.0004214938,0.00008024467,0.0164763,0.0004864658,0.0000355439,0.000018555,0.00001895971,0.06342983,0.008672017,0.7962831,0.1128469,0.001230521],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005573176,0.00008829536,0.8459425,0.00403548,0.0007666695,0.00007282315,0.000002282862,0.001372358,0.1471623],"genre_scores_gemma":[0.6454723,0.00001753355,0.3226553,0.000798971,0.0000462654,0.00004052903,0.000004010069,0.000004512192,0.03096046],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.644915,"threshold_uncertainty_score":0.4726733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485314170935114,"score_gpt":0.2674520445769681,"score_spread":0.252598902867617,"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."}}