{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006577282,0.0006129885,0.0004315052,0.00247541,0.0003510927,0.0009537771,0.000899434,0.0009265146,0.004592372],"category_scores_gemma":[0.002288539,0.0002793574,0.0004259069,0.001251951,0.0002452988,0.0005376498,0.0004022618,0.000365723,0.001746587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004603456,"about_ca_system_score_gemma":0.0004853397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001871768,"about_ca_topic_score_gemma":0.003245471,"domain_scores_codex":[0.9995833,0.00004258754,0.00002909963,0.0001145113,0.000197571,0.00003301724],"domain_scores_gemma":[0.999139,0.0002096112,0.0001138267,0.00009633148,0.0003874591,0.00005377944],"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":[0.0009272076,0.0001188211,0.006195625,0.0003454884,0.0001110327,0.0003736595,0.0001464713,0.01356197,0.4896073,0.002638986,0.004561709,0.4814118],"study_design_scores_gemma":[0.00008550735,0.0002712456,0.02900903,0.00005819329,0.00007697134,0.001513655,0.0001446938,0.5779625,0.3786268,0.001297116,0.01087638,0.00007798018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1446375,0.0007846224,0.845139,0.0002405715,0.00006730534,0.0003082264,0.0008888409,0.004214131,0.003719801],"genre_scores_gemma":[0.2317145,0.0002890229,0.7635883,0.00005261871,0.00001883049,0.0001462805,0.001026592,0.0001877718,0.002976113],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004592372,"threshold_uncertainty_score":0.01536298,"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."}}