{"id":"W4404211217","doi":"10.1038/s41598-024-78304-7","title":"A deep learning model of dorsal and ventral visual streams for DVSD","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Dorsum; STREAMS; Computer science; Deep learning; Artificial intelligence; Neuroscience; Anatomy; Biology; Computer network","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":[],"consensus_categories":[],"category_scores_codex":[0.000660464,0.00007014937,0.0001738261,0.0001505115,0.00008807468,0.0001132306,0.00001880088,0.00002636136,0.00001569033],"category_scores_gemma":[0.0001418878,0.00005498068,0.0001228539,0.0002214148,0.0001430738,0.00006597601,0.0000195187,0.00008482297,0.000001515634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001484695,"about_ca_system_score_gemma":0.00008734759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000161376,"about_ca_topic_score_gemma":0.000001755023,"domain_scores_codex":[0.998956,0.000009071859,0.0002576539,0.0003807722,0.0002368865,0.0001596776],"domain_scores_gemma":[0.9995924,0.00002496752,0.00006986098,0.0001517981,0.00009135934,0.00006964261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001511591,0.0003681813,0.06959967,0.002386467,0.0005600121,0.001825485,0.004594133,0.01531761,0.5535916,0.0004260955,0.006086551,0.345093],"study_design_scores_gemma":[0.0001009568,0.00007172619,0.0001672977,0.0001904906,0.0002492743,0.0002659411,0.0001842193,0.9821748,0.01180624,0.001739065,0.002980587,0.00006936709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854557,0.001251649,0.01190351,0.000179471,0.0006198395,0.0001174481,8.213968e-7,0.0000539231,0.000417622],"genre_scores_gemma":[0.9905808,0.000007746718,0.001394313,0.000005921243,0.00004373578,0.000005994402,0.00003548479,0.00001071027,0.007915292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9668572,"threshold_uncertainty_score":0.2242047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488296256594791,"score_gpt":0.311072771063152,"score_spread":0.2961898084972041,"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."}}