{"id":"W2143705624","doi":"10.1109/iembs.2007.4352621","title":"FDTD Simulation of Electromagnetic Wave Scattering from Retina Cells","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Finite-difference time-domain method; Scattering; Light scattering; Polarization (electrochemistry); Optics; Rhodopsin; Mie scattering; Physics; Retina; Biophysics; Materials science; Retinal; Chemistry; Biology","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":[0.0002088351,0.0003305644,0.0003903323,0.0002269988,0.0003935249,0.000545665,0.0005958953,0.001193273,0.001893495],"category_scores_gemma":[0.0006571787,0.0003186448,0.0004181552,0.0003312448,0.0003423019,0.0002764928,0.0002980036,0.0004231895,0.0002855849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000616025,"about_ca_system_score_gemma":0.0008984336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00944721,"about_ca_topic_score_gemma":0.003074529,"domain_scores_codex":[0.9999106,0.00001455543,0.00000490929,0.00001136371,0.00004183368,0.00001673184],"domain_scores_gemma":[0.9996926,0.0001591412,0.00002272888,0.00002309928,0.00008335999,0.0000191835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002694362,0.00002168465,0.0005283356,0.00003854339,0.00000998725,0.0001257789,0.00009936389,0.9827244,0.009261474,0.003896146,0.0003839552,0.002883459],"study_design_scores_gemma":[0.000007832346,0.000007230291,0.00009780387,0.000002977295,0.00000121896,0.00001920561,0.000009618748,0.9975649,0.00139498,0.000347938,0.0005418831,0.000004416157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3899691,0.0003417166,0.5795695,0.0003714141,0.0001800258,0.0001689345,0.00131365,0.0009447198,0.02714093],"genre_scores_gemma":[0.8590146,0.0002897974,0.1283907,0.0001106456,0.00002310871,0.0002770527,0.0006770581,0.0001501552,0.01106693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00944721,"threshold_uncertainty_score":0.01878446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06573955997259395,"score_gpt":0.3089890091069469,"score_spread":0.243249449134353,"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."}}