{"id":"W2950707040","doi":"10.12688/f1000research.9075.1","title":"Centromere detection of human metaphase chromosome images using a candidate based method","year":2016,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories; Health Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Centromere; Sister chromatids; Metaphase; Chromosome; Pattern recognition (psychology); Karyotype; Biology; Computer science; Artificial intelligence; Genetics; Gene","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":[0.0006939992,0.0002740948,0.0003685787,0.0002432971,0.0001817176,0.00006089778,0.0004747401,0.0003474302,0.0002671947],"category_scores_gemma":[0.00008722564,0.0002383738,0.0002570242,0.0001110187,0.0001564668,0.000005709475,0.0007800794,0.0002881424,0.000006708295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009493408,"about_ca_system_score_gemma":0.0004934798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009466133,"about_ca_topic_score_gemma":0.00006627684,"domain_scores_codex":[0.9977459,0.0004491066,0.0004248871,0.0005768563,0.0003609578,0.0004423416],"domain_scores_gemma":[0.9984158,0.0000349097,0.0002448745,0.0008014514,0.0003705582,0.0001324127],"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":[0.00007874255,0.00007778742,0.0004512256,0.000251224,0.0001889742,0.000006386902,0.00003095423,0.00021997,0.9973591,0.00006151445,0.000107932,0.00116621],"study_design_scores_gemma":[0.0006918309,0.0002203027,0.001106889,0.00009202799,0.00007673187,0.00001055327,0.00004526924,0.0006012195,0.9949086,0.0006956158,0.001274415,0.0002765348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9304336,0.0009895437,0.06554684,0.0001082204,0.0002251673,0.0005961323,0.001363094,0.00002333758,0.0007140143],"genre_scores_gemma":[0.9935911,0.00007761946,0.004434085,0.00001932476,0.0003810335,0.00007640046,0.0004177246,0.00005802273,0.0009446415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0631575,"threshold_uncertainty_score":0.97206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03155421726128645,"score_gpt":0.3499889017455036,"score_spread":0.3184346844842171,"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."}}