{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007606166,0.0004750227,0.0004749342,0.001973324,0.000392825,0.0008494064,0.0008061458,0.0006753989,0.001372854],"category_scores_gemma":[0.001485828,0.0003945766,0.0002296604,0.001103633,0.0004902334,0.0006097415,0.0008281238,0.000676457,0.0006208885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006107172,"about_ca_system_score_gemma":0.0005314053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009663201,"about_ca_topic_score_gemma":0.001498066,"domain_scores_codex":[0.9989325,0.0001308771,0.00007813166,0.0003129797,0.0004555199,0.00008996244],"domain_scores_gemma":[0.9985601,0.0004840918,0.000252982,0.0002778949,0.0003466924,0.00007825582],"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":[0.00009162602,0.00004103162,0.002196408,0.0001102954,0.00002161418,0.00004971734,0.00006917673,0.001496541,0.9556074,0.00123039,0.0004070328,0.03867882],"study_design_scores_gemma":[0.00001849324,0.00009140611,0.01231861,0.00001661508,0.00002549401,0.0002406527,0.00004333903,0.05107675,0.931511,0.00122579,0.003386629,0.00004510201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2717032,0.001042281,0.7192765,0.0001711222,0.00008624668,0.0002513303,0.001659781,0.003562509,0.002246999],"genre_scores_gemma":[0.3868053,0.0008822238,0.6078901,0.000101347,0.00004290473,0.0006352363,0.001481956,0.0002970106,0.001864028],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001973324,"threshold_uncertainty_score":0.004592597,"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."}}