{"id":"W4391604640","doi":"10.1364/boe.512124","title":"Towards a mini-endoscope design with spatially selective excitation and imaging","year":2024,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Optics; Endoscope; Image resolution; Materials science; Lens (geology); Fluorescence; Field of view; Resolution (logic); Computer science; Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000136772,0.0001417753,0.0001248056,0.0001472086,0.0000402167,0.00009768174,0.0001012007,0.00008369014,0.000004539492],"category_scores_gemma":[0.00005994035,0.0001134906,0.00001609123,0.000253504,0.0001543086,0.0000949504,0.0000306464,0.0002062081,0.000005461412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004832878,"about_ca_system_score_gemma":0.00006063803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000010249,"about_ca_topic_score_gemma":5.271297e-7,"domain_scores_codex":[0.9992329,0.00001668779,0.0001312576,0.0002033259,0.0001604773,0.0002553249],"domain_scores_gemma":[0.9996789,0.0001111028,0.00001060159,0.0001011021,0.00002977832,0.00006854948],"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":[0.00002391021,0.00002508467,0.00001866211,0.0002704548,0.000121784,0.0001546933,0.001046721,0.0000603176,0.8077198,0.001230336,0.01098907,0.1783392],"study_design_scores_gemma":[0.001056537,0.00086155,0.0002569212,0.001101261,0.0001525914,0.0002709243,0.0005580663,0.09094063,0.8662202,0.003296364,0.0344127,0.0008722133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07349223,0.008735019,0.9141054,0.0005877219,0.0002595471,0.000198758,0.00001017785,0.001831822,0.0007793808],"genre_scores_gemma":[0.9203515,0.0005131142,0.07891089,0.00001993414,0.00007829868,0.00003901335,0.000008263824,0.00003813707,0.00004084613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8468593,"threshold_uncertainty_score":0.4628013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00772732915135592,"score_gpt":0.2196914014546571,"score_spread":0.2119640723033012,"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."}}