{"id":"W4312266935","doi":"10.56431/p-9r953v","title":"Combined Spectral Resonances of Signaling Proteins’ Amino Acids in the ERK-MAP Pathway Reflect Unique Patterns that Predict Peak Photon Emissions and Universal Energies","year":2015,"lang":"en","type":"article","venue":"International Letters of Chemistry Physics and Astronomy","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Physics; Photon; Resonance (particle physics); Duality (order theory); MAPK/ERK pathway; Spectral density; Wavelength; Amino acid; Topology (electrical circuits); Chemistry; Biophysics; Computational physics; Signal transduction; Biology; Atomic physics; Quantum mechanics; Biochemistry; Computer science; 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":[0.0001268654,0.0001103995,0.0001265701,0.00002767657,0.00003284641,0.00003717274,0.000332096,0.00002767866,0.00001201988],"category_scores_gemma":[0.00002462206,0.00009010728,0.00003836575,0.00005830614,0.0002169194,0.0001146179,0.0001067,0.0001583756,1.125304e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003151935,"about_ca_system_score_gemma":0.00006557646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000050635,"about_ca_topic_score_gemma":8.45753e-7,"domain_scores_codex":[0.9991001,0.00004778796,0.0001533795,0.0002126722,0.0003416098,0.0001444855],"domain_scores_gemma":[0.9995804,0.00009070355,0.0001126913,0.0001191188,0.0000416067,0.00005541015],"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":[0.00006819495,0.00006636231,0.01907674,0.00002593259,0.000009713476,0.000003719675,0.0003603149,0.0001121916,0.9797253,0.0001944175,0.00003123689,0.0003258758],"study_design_scores_gemma":[0.0005519361,0.00005688078,0.001936897,0.00007565175,0.000003357763,0.000001444588,0.0002819947,0.0003287115,0.9958943,0.0002377696,0.0005538245,0.00007726142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982161,0.00001526323,0.0003756833,0.0004449311,0.00003610398,0.0001278058,0.0000978632,0.000005267152,0.0006809678],"genre_scores_gemma":[0.9995142,0.00001101958,0.0002749013,0.00004000356,0.00008182078,0.00001809914,0.00001881547,0.000006741796,0.00003435029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01713985,"threshold_uncertainty_score":0.3674468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218291580951363,"score_gpt":0.2662039032941469,"score_spread":0.2340209874846333,"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."}}