{"id":"W4406922905","doi":"","title":"Fundamentals of Biomedical Optics and Imaging","year":2019,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Optical imaging; Medical imaging; Computer science; Adaptive optics; Optics; Physics; Artificial intelligence","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":[0.0005727696,0.0007689543,0.0007248186,0.001592596,0.0006803355,0.002181322,0.0008554661,0.00172332,0.02431975],"category_scores_gemma":[0.0009778794,0.0002755096,0.0004064855,0.0009345551,0.00144804,0.001370158,0.001105501,0.002067805,0.01174812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000873644,"about_ca_system_score_gemma":0.0008877846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004836763,"about_ca_topic_score_gemma":0.0004564941,"domain_scores_codex":[0.9995992,0.00005692784,0.0000186731,0.00008390818,0.0002054484,0.00003593642],"domain_scores_gemma":[0.9992423,0.0002088148,0.00004315479,0.00009254126,0.0003368325,0.00007638918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005545329,0.0000589441,0.0002785088,0.000797211,0.00002004688,0.0001600349,0.0002693026,0.002174657,0.02050059,0.5758779,0.088028,0.3117794],"study_design_scores_gemma":[0.00001146252,0.00006458983,0.0007807037,0.0002355419,0.00001302677,0.0005756137,0.00008762913,0.007994841,0.007305625,0.1800301,0.8028659,0.00003497687],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006605325,0.09833933,0.4083086,0.01464482,0.01910022,0.000169462,0.0005064923,0.0009037954,0.451422],"genre_scores_gemma":[0.1121537,0.09521536,0.163816,0.002848174,0.0141283,0.0004060029,0.000444097,0.0004168747,0.6105715],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02431975,"threshold_uncertainty_score":0.08135772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007427586964354066,"score_gpt":0.2574854464541431,"score_spread":0.250057859489789,"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."}}