{"id":"W2789794795","doi":"10.1016/j.bpj.2017.11.1929","title":"Multicolor Spatial Intensity Distribution Analysis of Laser Scanning Microscopy Images to Study Dopamine Receptor Dynamics","year":2018,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Photobleaching; Optics; Microscopy; Detector; Photon counting; Photodetector; Biological system; Physics; Fluorescence; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001732935,0.000172008,0.0003205386,0.000097295,0.0001467603,0.00003621292,0.0002497908,0.00008430742,0.00002113513],"category_scores_gemma":[0.0001619041,0.0001525843,0.0001690936,0.00042046,0.0002183612,0.000009155791,0.0001977529,0.0001561562,0.000006775851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008235609,"about_ca_system_score_gemma":0.00003080732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005395718,"about_ca_topic_score_gemma":0.00004594164,"domain_scores_codex":[0.998872,0.00006643779,0.0003245995,0.0003118176,0.0001723006,0.0002528067],"domain_scores_gemma":[0.9988428,0.000009950149,0.0001899503,0.0002749859,0.0005426999,0.0001395534],"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":[0.0004895321,0.0004217395,0.01326659,0.000002176445,0.0002885252,0.000003496689,0.00004718349,0.00002255044,0.9824618,0.000001359285,0.0004187787,0.002576322],"study_design_scores_gemma":[0.0002889193,0.001699369,0.0389798,0.00001329791,0.0002243193,0.000004319527,0.0001342922,0.0007935496,0.9575447,0.00000265499,0.0001526303,0.0001621624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6994494,0.000004005157,0.3000861,0.00004595936,0.0001042509,0.0001409412,0.000155135,0.00001057857,0.000003665747],"genre_scores_gemma":[0.9731889,0.00000819279,0.02612918,0.00006003251,0.0003907438,0.000006619365,0.0001722384,0.00001575672,0.0000282886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2739569,"threshold_uncertainty_score":0.6222208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007059225790244847,"score_gpt":0.3037099184067529,"score_spread":0.2966506926165081,"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."}}