{"id":"W1980710350","doi":"10.1038/nn.2110","title":"Quantal noise from human red cone pigment","year":2008,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute on Deafness and Other Communication Disorders; University of British Columbia; National Eye Institute; University of Southern California","keywords":"Rhodopsin; Pigment; Cone (formal languages); Biophysics; Biology; Isomerization; Physics; Chemistry; Retinal; Biochemistry; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001457083,0.0002170277,0.0001949968,0.0001499571,0.0008185699,0.00009238393,0.001172558,0.0001888137,0.000177261],"category_scores_gemma":[0.0009633671,0.0001931297,0.00008789421,0.000786475,0.0008013285,0.0002333147,0.0003014614,0.0009680062,0.00009644507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006307311,"about_ca_system_score_gemma":0.0001061201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003934172,"about_ca_topic_score_gemma":0.000007570466,"domain_scores_codex":[0.9966056,0.0001574235,0.0002464608,0.001025563,0.00135226,0.0006126753],"domain_scores_gemma":[0.9987853,0.000191542,0.00008225983,0.0005742774,0.00005566131,0.0003109339],"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":[0.00002721359,0.0001271528,0.00250445,0.00000205591,3.42714e-7,0.0001612873,0.0001005668,0.00001255298,0.9946665,0.0003880305,0.001924398,0.00008541676],"study_design_scores_gemma":[0.0004166955,0.0001674707,0.04513926,0.000006995235,0.000002092931,0.00005908654,0.000006263861,0.0005793559,0.9382907,0.0002114202,0.01490578,0.0002149485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921519,0.00009183217,0.00005147158,0.0003408959,0.001286104,0.0002876545,0.00008023949,0.0001230013,0.005586942],"genre_scores_gemma":[0.9957938,0.0001824336,0.0001015372,0.002934292,0.0001537955,0.0000181505,0.000004455586,0.00002364431,0.0007879068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0563759,"threshold_uncertainty_score":0.7875599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07231589270036513,"score_gpt":0.3478965254408971,"score_spread":0.275580632740532,"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."}}