{"id":"W1985479839","doi":"10.1021/cb600461v","title":"Seeing Is Believing","year":2006,"lang":"en","type":"article","venue":"ACS Chemical Biology","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Subcellular localization; Visualization; Fluorescence microscope; Computational biology; Microscopy; Computer science; Fluorescence; Chemistry; Artificial intelligence; Biology; Biochemistry; Medicine; Pathology; Physics; Cytoplasm","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":[0.00006250055,0.0001501497,0.0001399128,0.00002320608,0.00004414544,0.000008117798,0.0002334623,0.0002898574,0.00002306712],"category_scores_gemma":[0.0000600811,0.0001425379,0.00006078803,0.00006796393,0.0001797918,0.000002628327,0.000194799,0.0001155911,0.00002128677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001731036,"about_ca_system_score_gemma":0.00001880447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002238222,"about_ca_topic_score_gemma":0.000001993879,"domain_scores_codex":[0.999032,0.00001891802,0.000190359,0.0003987304,0.00003955346,0.0003204084],"domain_scores_gemma":[0.9995503,0.00001314593,0.00005753808,0.0002952084,0.00004504575,0.0000387484],"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":[0.00001544711,0.00002177573,0.0069298,0.000003973695,0.000006873324,0.000001035251,0.000003688632,4.00617e-7,0.9856538,0.0003727052,0.004819615,0.002170933],"study_design_scores_gemma":[0.0001334389,0.00005262944,0.0001191146,0.000006249397,0.000004261243,0.00001140898,0.000003330144,0.000003029006,0.9275458,0.001850827,0.07010563,0.0001642202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789394,0.001282627,0.01674145,0.0002801325,0.00006841111,0.0001209222,0.00002168419,0.00008426502,0.002461085],"genre_scores_gemma":[0.9714659,0.00008612761,0.02666149,0.000936411,0.0003209596,0.00001956777,0.0002323108,0.0000226072,0.0002545751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06528602,"threshold_uncertainty_score":0.5812527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004909490162862366,"score_gpt":0.2673875374878833,"score_spread":0.2624780473250209,"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."}}