{"id":"W2034298884","doi":"10.1016/s0008-4182(05)80072-9","title":"Comparison of stereoscopic digital imaging and slide film photography in the identification of macular degeneration","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Alexandra Hospital; University of Calgary; University of Alberta","funders":"","keywords":"Photography; Fundus photography; Stereoscopy; Digital photography; Medicine; Digital imaging; Artificial intelligence; Computer vision; JPEG; Macular degeneration; Magnification; Ophthalmology; Computer science; Retinal; Digital image; Optometry; Image processing; Fluorescein angiography; Art; Data compression","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003969418,0.0003783065,0.0005267441,0.003073115,0.0002949956,0.0007590392,0.0006253964,0.0008195369,0.001573045],"category_scores_gemma":[0.01697122,0.0002451492,0.0004218332,0.001094628,0.0004291878,0.001204558,0.0005567093,0.0004563342,0.0003137116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005208158,"about_ca_system_score_gemma":0.0005575996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005221822,"about_ca_topic_score_gemma":0.009727626,"domain_scores_codex":[0.9980419,0.0009345414,0.0002039495,0.0001405503,0.000558178,0.000120867],"domain_scores_gemma":[0.9874746,0.008353672,0.0009602999,0.0003855527,0.002410864,0.0004149706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02928962,0.0008795154,0.8619537,0.0007906359,0.0005422626,0.0005958516,0.001488681,0.0007093953,0.009315258,0.0003376458,0.0007115065,0.09338596],"study_design_scores_gemma":[0.0003857845,0.004465675,0.9866872,0.00009034166,0.0003354076,0.001337215,0.001108348,0.002491166,0.002289101,0.000168508,0.0006108863,0.00003032616],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944201,0.002117109,0.0003812536,0.00007887106,0.00005024148,0.00006254161,0.000151122,0.00001068868,0.002728095],"genre_scores_gemma":[0.9978228,0.0008847669,0.0006865496,0.00004868656,0.00003641989,0.00001820349,0.0001343744,0.000003160244,0.0003651281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005221822,"threshold_uncertainty_score":0.02099252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554239232112315,"score_gpt":0.3575831334016524,"score_spread":0.3220407410805293,"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."}}