{"id":"W2036006795","doi":"10.1016/j.chembiol.2012.04.003","title":"Designing Chimeric LOV Photoswitches","year":2012,"lang":"en","type":"letter","venue":"Chemistry & Biology","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health","keywords":"Chemical biology; Computational biology; Structural biology; Biology; Synthetic biology; Biophysics; Fusion protein; Helix (gastropod); Nanotechnology; Recombinant DNA; Cell biology; Biochemistry; Materials science","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001541798,0.0004173834,0.0004509435,0.00006056515,0.0001373304,0.0000463288,0.001037766,0.001339823,0.002778205],"category_scores_gemma":[0.0003996314,0.0003759714,0.0001707744,0.0002154886,0.0005382004,0.00003299553,0.0002950313,0.002122818,0.0005994829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009309855,"about_ca_system_score_gemma":0.0001477749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001464681,"about_ca_topic_score_gemma":1.093819e-7,"domain_scores_codex":[0.9973398,0.0001561576,0.0002810991,0.0008506613,0.0002444031,0.001127817],"domain_scores_gemma":[0.9985873,0.0004329291,0.0001610914,0.0006269471,0.00004037871,0.0001514134],"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":[0.00000740635,0.00001679943,0.0001405198,0.00009438232,0.00001033071,0.00003492959,0.00002560128,1.012528e-7,0.8130292,4.044801e-7,0.1862201,0.0004202151],"study_design_scores_gemma":[0.00007251173,0.00001226685,0.000004548308,0.000009761849,0.000009639566,0.0000448311,0.000002468544,0.000003865358,0.561449,0.00004742836,0.4381153,0.0002283443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.4521072,0.009731862,0.001045124,0.2292086,0.007997589,0.002863405,0.00161182,0.001508811,0.2939256],"genre_scores_gemma":[0.4149069,0.001223272,0.0006919528,0.5331083,0.0215556,0.0003897989,0.001208675,0.0003358402,0.02657963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3038997,"threshold_uncertainty_score":0.9999567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06935334402535555,"score_gpt":0.315689200351886,"score_spread":0.2463358563265304,"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."}}