{"id":"W2296190451","doi":"10.1002/jbio.201500261","title":"Motion‐free endoscopic system for brain imaging at variable focal depth using liquid crystal lenses","year":2016,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Focal length; Optics; Liquid crystal; Polarization (electrochemistry); Materials science; Voltage; Focal adhesion; Optical imaging; Biomedical engineering; Optoelectronics; Physics; Chemistry; Medicine","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":[0.0007806889,0.0001776482,0.0003101212,0.0002334635,0.0002761564,0.00009039812,0.0006246231,0.00008392587,0.00006092296],"category_scores_gemma":[0.001155267,0.0001235836,0.0001954935,0.0002326082,0.0001430481,0.0002697338,0.0002326,0.0001617157,0.000008037448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006633055,"about_ca_system_score_gemma":0.0003434637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001100031,"about_ca_topic_score_gemma":0.000004743663,"domain_scores_codex":[0.9978334,0.0001611577,0.0005553455,0.0002863719,0.0006296721,0.000534063],"domain_scores_gemma":[0.9980579,0.0007279118,0.000370641,0.0003428475,0.0002653986,0.000235285],"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":[0.0003980959,0.00004896896,0.0003627752,0.00007497548,0.00001151907,0.00003640461,0.00004433027,0.00005438997,0.9980524,0.0002437987,0.0003796678,0.0002926336],"study_design_scores_gemma":[0.001840006,0.0004618737,0.00003788231,0.0002310192,0.00002301893,0.000638862,0.00004325165,0.003489071,0.9879868,0.0001417856,0.004967189,0.000139225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669745,0.0002617322,0.03035688,0.000322213,0.001177347,0.0003094214,0.0001199173,0.00002479225,0.0004531952],"genre_scores_gemma":[0.9937044,0.00008840521,0.005503797,0.0001500107,0.0002406648,0.000006854447,4.585117e-7,0.00004040938,0.0002649473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02672995,"threshold_uncertainty_score":0.5039595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04773923786652168,"score_gpt":0.3090309476123685,"score_spread":0.2612917097458469,"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."}}