{"id":"W4361190960","doi":"10.1101/pdb.prot108190","title":"Measuring Mosquito Spectral Sensitivity Using Electroretinograms","year":2023,"lang":"en","type":"article","venue":"Cold Spring Harbor Protocols","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Spectral sensitivity; Sensitivity (control systems); Electrophysiology; Computer science; Neuroscience; Biology; Wavelength; Physics; Optics","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":[0.0003901219,0.00049647,0.0002662206,0.001012731,0.0002761392,0.0004702238,0.0004444626,0.0005453754,0.002834621],"category_scores_gemma":[0.0006331076,0.0003072992,0.0002851602,0.0007,0.0003149378,0.0008750753,0.0005141172,0.0009836156,0.0009391539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003427365,"about_ca_system_score_gemma":0.000188065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009430179,"about_ca_topic_score_gemma":0.001947037,"domain_scores_codex":[0.9995427,0.0000787873,0.00004264987,0.00011325,0.0001747563,0.00004776704],"domain_scores_gemma":[0.9997535,0.0000663948,0.00004953907,0.00002717929,0.00007712708,0.00002625291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006276176,0.00004304028,0.001175664,0.00009087345,0.00001871501,0.00006020424,0.00004373445,0.0001697995,0.9880086,0.000285309,0.0002156593,0.009825683],"study_design_scores_gemma":[0.00002558031,0.0004014958,0.07397002,0.00006273298,0.0000741706,0.0007483645,0.0002046873,0.004986374,0.9128485,0.0009209379,0.005703746,0.0000533972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.847427,0.00293987,0.1248211,0.0002348253,0.0001593651,0.0005197834,0.00256733,0.00101925,0.02031143],"genre_scores_gemma":[0.8476612,0.007396679,0.1357751,0.0004710654,0.00006624673,0.0009095016,0.001807361,0.0001904473,0.005722291],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002834621,"threshold_uncertainty_score":0.009482741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1326322970447892,"score_gpt":0.3465399521054941,"score_spread":0.2139076550607049,"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."}}