{"id":"W4399846443","doi":"10.1364/josab.525182","title":"Artificial intelligence and machine learning in optics: tutorial","year":2024,"lang":"en","type":"article","venue":"Journal of the Optical Society of America B","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Computer science; Artificial intelligence; Human–computer interaction","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":[0.0006582374,0.002754358,0.001052881,0.002311184,0.0006970386,0.002050391,0.0006840211,0.00151541,0.02066938],"category_scores_gemma":[0.001567323,0.0005693232,0.0009011041,0.002452413,0.0009461706,0.00308108,0.001318712,0.003811154,0.01195157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116147,"about_ca_system_score_gemma":0.001172381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001580297,"about_ca_topic_score_gemma":0.002487415,"domain_scores_codex":[0.9996964,0.00007779874,0.00001969191,0.00005671098,0.0001122171,0.00003723534],"domain_scores_gemma":[0.9993616,0.0004031584,0.00004156846,0.0000325884,0.00009780031,0.00006324829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006060482,0.0002976543,0.0004796936,0.002245696,0.00007871116,0.0002914666,0.0004545015,0.004296157,0.002499274,0.1482921,0.5667576,0.2742466],"study_design_scores_gemma":[0.000005865393,0.00009115424,0.0008334807,0.0008358161,0.00001467931,0.0004703305,0.00008662659,0.001576216,0.0002034422,0.04259318,0.9532636,0.00002562094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.00315344,0.7260092,0.05531446,0.01102726,0.02254945,0.0002175261,0.0008837443,0.0008229711,0.1800219],"genre_scores_gemma":[0.01401937,0.728718,0.05186505,0.008290806,0.04327613,0.0005476487,0.001245662,0.0004886146,0.1515487],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02066938,"threshold_uncertainty_score":0.06914592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395626333974099,"score_gpt":0.3012948637478458,"score_spread":0.2773386004081048,"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."}}