{"id":"W2020298659","doi":"10.1017/s1431927613000159","title":"Automated Detection and Quantification of Granular Cell Compartments","year":2013,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Brown University; Natural Sciences and Engineering Research Council of Canada; McGill University; Heart and Stroke Foundation of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009639579,0.00007864366,0.0001236743,0.00006642705,0.00008179176,0.0000335486,0.00004956589,0.00005945731,0.00001204883],"category_scores_gemma":[0.000008925591,0.00007164929,0.0000395936,0.00009370567,0.00007561616,0.000005626287,0.00003800914,0.00003391005,0.000006128065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004162256,"about_ca_system_score_gemma":0.00000848833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003605519,"about_ca_topic_score_gemma":0.0000430363,"domain_scores_codex":[0.9994338,0.00003984297,0.0001492022,0.0002015972,0.00004944543,0.0001261245],"domain_scores_gemma":[0.9996575,0.000005210865,0.00006273367,0.0001489534,0.00006985353,0.00005581799],"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":[0.00001777251,0.00002838486,0.008030804,0.00002777754,0.00003339883,1.393998e-7,0.00001704433,0.00000483711,0.9901991,8.00559e-7,0.0002465608,0.00139334],"study_design_scores_gemma":[0.0002734234,0.00007248265,0.01561566,0.000004331158,0.00004073826,0.000002566165,0.00006155563,0.002326413,0.981041,0.000006404196,0.0004852454,0.00007025159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952959,0.001456133,0.003038867,0.00002686853,0.00001104368,0.0001196956,0.000007522793,0.000009662312,0.0000342895],"genre_scores_gemma":[0.998336,0.000411688,0.0006740433,0.0000290086,0.000008240793,0.000009912579,0.00005597348,0.000006486235,0.0004687067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00915821,"threshold_uncertainty_score":0.2921773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008703238299569378,"score_gpt":0.271222605616717,"score_spread":0.2625193673171476,"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."}}