{"id":"W2768352563","doi":"10.1364/oe.25.029945","title":"Optical camera with liquid crystal autofocus lens","year":2017,"lang":"en","type":"article","venue":"Optics Express","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canada Research Chairs","keywords":"Autofocus; Lens (geology); Optics; Optical transfer function; Camera phone; Optical power; SIGNAL (programming language); Image quality; Focal length; Materials science; Voltage; Computer science; Optoelectronics; Focus (optics); Physics; Computer vision; Electrical engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001493507,0.000350252,0.0002735427,0.0003544953,0.0002103312,0.0004431887,0.0007279297,0.0006874373,0.003169056],"category_scores_gemma":[0.0002846332,0.000199156,0.000197884,0.0001824247,0.000213576,0.0004993596,0.0004681308,0.0004584763,0.001016443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004359255,"about_ca_system_score_gemma":0.000360511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005341998,"about_ca_topic_score_gemma":0.0006276174,"domain_scores_codex":[0.9997059,0.00002112407,0.000008923826,0.00009315882,0.0001415804,0.00002927146],"domain_scores_gemma":[0.9997608,0.00005354774,0.00003897189,0.00002516793,0.00008657712,0.00003497195],"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":[0.0001032735,0.00002703292,0.0002564788,0.0000792986,0.000007158974,0.0001698253,0.00002911118,0.0002273648,0.977759,0.00148631,0.0008084702,0.01904679],"study_design_scores_gemma":[0.00005220919,0.0006860168,0.002650729,0.00002942323,0.000027286,0.002571539,0.00003304775,0.01778795,0.9566262,0.0002849594,0.01919649,0.00005420712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.502242,0.003156236,0.4593134,0.0008625769,0.0004419145,0.0004595788,0.0007732101,0.00458014,0.02817091],"genre_scores_gemma":[0.6733375,0.0009512769,0.3099708,0.0004814629,0.000127157,0.0003188044,0.000277787,0.00007815656,0.01445697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003169056,"threshold_uncertainty_score":0.01060158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009619325970045754,"score_gpt":0.2132086746950924,"score_spread":0.2035893487250467,"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."}}