{"id":"W4232080934","doi":"10.1364/iodc.2010.iwd7","title":"Active Imaging Lens with Real-Time Variable Resolution and Constant Field of View","year":2010,"lang":"en","type":"article","venue":"International Optical Design Conference and Optical Fabrication and Testing","topic":"Advanced optical system design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Citation; Computer science; Variable (mathematics); Lens (geology); Constant (computer programming); Field (mathematics); Resolution (logic); Information retrieval; World Wide Web; Optics; Artificial intelligence; Physics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002029649,0.0001410858,0.0001999435,0.00005987261,0.00005906064,0.00007721942,0.00007699688,0.00007297393,0.0000398805],"category_scores_gemma":[0.0009327466,0.0001203667,0.00001048187,0.0001130994,0.000212241,0.0002884623,0.00003906957,0.000214286,0.000003799636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001765658,"about_ca_system_score_gemma":0.00003453733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001455783,"about_ca_topic_score_gemma":0.000001410262,"domain_scores_codex":[0.9991249,0.0000212127,0.0002735331,0.0002344944,0.0001699247,0.0001758885],"domain_scores_gemma":[0.9978462,0.001558631,0.00005174608,0.00009667078,0.0003209848,0.0001257861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000109134,0.00004947145,0.002297425,0.00008843054,0.00005988628,0.0000109361,0.00008566576,0.0004631608,0.3476893,0.5328842,0.00002420902,0.1162382],"study_design_scores_gemma":[0.0007043928,0.0002363335,0.008615965,0.0003583104,0.00006646408,0.0001815468,0.00006512764,0.9658527,0.01412092,0.009194078,0.0002226144,0.0003815489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04959396,0.00006003631,0.8974043,0.0004931394,0.00007920659,0.0002825389,0.000007850882,0.0001236758,0.05195526],"genre_scores_gemma":[0.7801117,0.00006468663,0.2197083,0.00003490116,0.00003132367,0.00001469066,0.000003306749,0.00001046292,0.00002067612],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9653895,"threshold_uncertainty_score":0.490841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203437287658385,"score_gpt":0.2478205449066717,"score_spread":0.2257861720300879,"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."}}