{"id":"W7097582148","doi":"","title":"mann @ eecg. toronto, edu","year":2008,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Point (geometry); The Internet; Function (biology); Wireless; Field (mathematics); Class (philosophy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005021026,0.00006321522,0.00007755021,0.00002140581,0.00009368864,0.00001520701,0.0005394886,0.00004388422,0.0001035408],"category_scores_gemma":[0.00001182526,0.00005197695,0.00003120114,0.00008357342,0.00005034648,0.0002003314,0.0001198247,0.0000552569,0.0002799243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002883282,"about_ca_system_score_gemma":0.00002107245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001716642,"about_ca_topic_score_gemma":0.00009320868,"domain_scores_codex":[0.9994441,0.00001108357,0.00007726354,0.000200813,0.00009465753,0.0001721077],"domain_scores_gemma":[0.999535,0.00002059908,0.00001894934,0.0003607355,0.00002809234,0.00003660199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001661838,0.0001230412,0.0100812,0.000003126346,0.00001561187,0.0001253961,0.0002398451,0.000004159338,0.0009776314,0.8240364,0.04479423,0.1195978],"study_design_scores_gemma":[0.001112718,0.000478047,0.5828414,0.00002101689,0.000008159443,0.001119941,0.0001198945,0.01101652,0.03484574,0.01155853,0.3558394,0.001038578],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05381545,0.0002737921,0.6930013,0.002542057,0.0004167159,0.00005965796,3.671753e-7,0.001598834,0.2482918],"genre_scores_gemma":[0.943754,0.00002131352,0.04998932,0.0003337459,0.00002918581,0.00000384831,2.637844e-7,0.000002963065,0.005865352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8899385,"threshold_uncertainty_score":0.3597954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708364630734885,"score_gpt":0.2244913633401983,"score_spread":0.2074077170328495,"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."}}