{"id":"W938701980","doi":"","title":"Can Digital Rop Images Be Optimized for the Remote Reader","year":2006,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital","funders":"","keywords":"Computer science; Computer graphics (images); Ophthalmology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008566407,0.0002339653,0.0002211939,0.0001331743,0.001145573,0.0004708287,0.002436253,0.00008444295,0.00001037426],"category_scores_gemma":[0.0005740124,0.0001684221,0.00008794887,0.001510731,0.006353201,0.0009040164,0.0006115865,0.0002116543,0.00002148675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001465052,"about_ca_system_score_gemma":0.0005173821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005726977,"about_ca_topic_score_gemma":0.000006914943,"domain_scores_codex":[0.9975025,0.00008812421,0.0003504172,0.0008889472,0.0004982927,0.0006717408],"domain_scores_gemma":[0.9976721,0.0007787681,0.0002389348,0.0007542203,0.0003580333,0.0001979728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000641754,0.0007737935,0.002814628,0.0000400455,0.0001432272,0.0001720907,0.003827052,0.01203842,0.7639515,0.188031,0.01168634,0.01645777],"study_design_scores_gemma":[0.001225393,0.0005903767,0.02765664,0.00004013813,0.00004496727,0.0007884169,0.0004802656,0.2669731,0.3806424,0.3185466,0.002078521,0.0009332287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5664333,0.0001495026,0.3444597,0.07583341,0.0005500763,0.002175132,0.0001383442,0.0003844691,0.009876033],"genre_scores_gemma":[0.9513977,0.000001691774,0.04670045,0.0006760625,0.00009039769,0.0001184956,0.00001405135,0.00001287235,0.000988315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3849643,"threshold_uncertainty_score":0.9963509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05274276063575133,"score_gpt":0.3426474012831416,"score_spread":0.2899046406473902,"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."}}