{"id":"W2804043748","doi":"10.1002/adma.201706764","title":"Artificial Rod and Cone Photoreceptors with Human‐Like Spectral Sensitivities","year":2018,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"National Research Council of Science and Technology; National Research Foundation of Korea; European Research Council; Korea Basic Science Institute; Korea Institute of Science and Technology","keywords":"Materials science; Cone (formal languages); Spectral sensitivity; Optics; Nanotechnology; Biophysics; Optoelectronics; Biology; Wavelength; Physics","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":[0.0001215789,0.0002868355,0.0001271578,0.0001579604,0.000100475,0.0002662074,0.0002027746,0.0003231461,0.0005562233],"category_scores_gemma":[0.0001316185,0.0001226115,0.0002219996,0.0001084011,0.0001833788,0.000188621,0.0001758411,0.0001880402,0.0002109233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438294,"about_ca_system_score_gemma":0.0001311518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001953857,"about_ca_topic_score_gemma":0.0004581306,"domain_scores_codex":[0.9999098,0.00001023631,0.000006251104,0.00002009899,0.0000413266,0.00001232546],"domain_scores_gemma":[0.9999319,0.00001327066,0.00002042371,0.00001039536,0.00001358469,0.00001040957],"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":[0.000007026889,0.00000512411,0.00009951594,0.00002021704,0.000002174225,0.00001745681,0.000005333371,0.00003381538,0.9987507,0.0001255762,0.00001374897,0.0009193093],"study_design_scores_gemma":[0.000003070123,0.00006285803,0.002338613,0.000004460166,0.000010529,0.0002182479,0.00001195221,0.0005186565,0.9945915,0.00008133891,0.002153452,0.000005210674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981285,0.001919516,0.01347725,0.00005370565,0.00003642605,0.00003639653,0.0001668671,0.0001269537,0.002897884],"genre_scores_gemma":[0.9781085,0.001246897,0.01740747,0.00005888785,0.00000601839,0.00003353493,0.0002271237,0.000022892,0.002888552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005562233,"threshold_uncertainty_score":0.001860797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0334227648545819,"score_gpt":0.306991155949508,"score_spread":0.2735683910949261,"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."}}