{"id":"W3157065574","doi":"10.21203/rs.3.rs-446625/v1","title":"A novel approach to event-based progression analysis in glaucomatous visual fields","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Glaucoma; Visual field; Optic nerve; Compass; Optic neuropathy; Medicine; Ophthalmology; Perimeter; Event (particle physics); Cartography; Mathematics; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002984487,0.0007117314,0.000808854,0.001866249,0.0004560685,0.0008510955,0.001122857,0.0008150731,0.002331371],"category_scores_gemma":[0.007606543,0.0003578028,0.001163614,0.0009343539,0.0004046803,0.0007666265,0.001064327,0.001043461,0.0003882989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000604776,"about_ca_system_score_gemma":0.0007887889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005936225,"about_ca_topic_score_gemma":0.004197095,"domain_scores_codex":[0.9988175,0.0005275446,0.00008257444,0.000223125,0.0002847763,0.0000643429],"domain_scores_gemma":[0.9959146,0.002926815,0.0002881568,0.0002734321,0.0004930245,0.0001039547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004466003,0.0004641383,0.01912396,0.0001824252,0.0005064068,0.0003605301,0.0001576225,0.7208095,0.01133567,0.01737852,0.001618748,0.2276159],"study_design_scores_gemma":[0.000006932062,0.0000223711,0.0007853359,0.000002581472,0.000009548899,0.00003069914,0.000003585543,0.9971016,0.000381737,0.001437544,0.0002122054,0.000005712539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02107113,0.00006985923,0.9779,0.0000521868,0.00003399488,0.00007001737,0.0001242024,0.0004176638,0.0002610933],"genre_scores_gemma":[0.2961068,0.0001044399,0.7016448,0.00007193901,0.0001226369,0.0002927032,0.0004429471,0.0001386432,0.001075043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005936225,"threshold_uncertainty_score":0.01578373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.046079032195653,"score_gpt":0.4250159858926124,"score_spread":0.3789369536969593,"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."}}