{"id":"W4381492529","doi":"10.1364/brain.2023.bm4b.3","title":"A Color Spectrum of Genetically Encoded Glutamate Indicators","year":2023,"lang":"en","type":"article","venue":"","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.0002741623,0.0005263393,0.0002018581,0.0004339725,0.0002576856,0.0004553483,0.0006099101,0.0004580083,0.001485264],"category_scores_gemma":[0.000483298,0.0001974896,0.0003279827,0.00029397,0.0004461852,0.0004997558,0.0005991183,0.001078992,0.0004621055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004117087,"about_ca_system_score_gemma":0.000268241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005031538,"about_ca_topic_score_gemma":0.0006118436,"domain_scores_codex":[0.9997768,0.00003292772,0.00001112632,0.00004562702,0.00009403118,0.00003958968],"domain_scores_gemma":[0.9996891,0.00005805864,0.00005653701,0.00003987645,0.00008519438,0.00007127169],"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":[0.00006119635,0.00001575363,0.0001008752,0.00002418527,0.000004709748,0.00005017751,0.00001671922,0.0002547709,0.9929258,0.001338989,0.0001269988,0.005079936],"study_design_scores_gemma":[0.000008040672,0.0001105307,0.0004981324,0.000006776234,0.00001319067,0.0001903734,0.00000986038,0.001083205,0.9942518,0.0003068536,0.003509246,0.00001197111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8172889,0.002137604,0.1585839,0.00120453,0.0003799981,0.0001064975,0.0007554924,0.001923401,0.01761961],"genre_scores_gemma":[0.9037215,0.001556515,0.0863865,0.0006017874,0.00003959313,0.0001008612,0.0006161501,0.0002941118,0.006683002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001485264,"threshold_uncertainty_score":0.004968703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04280840543482138,"score_gpt":0.3243933361547564,"score_spread":0.281584930719935,"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."}}