{"id":"W1967947575","doi":"10.1002/cyto.a.21012","title":"Novel automated three‐dimensional genome scanning based on the nuclear architecture of telomeres","year":2010,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"Canadian Institutes of Health Research","keywords":"Telomere; Genome; Architecture; Computational biology; Biology; Computer science; DNA; Genetics; Geography; 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":[0.0003238092,0.000453763,0.0004876909,0.001305681,0.0002370691,0.0006321323,0.001053261,0.0005888894,0.001929314],"category_scores_gemma":[0.0004593267,0.0005613431,0.0003986261,0.0006017123,0.000372689,0.000509685,0.0007937461,0.0004118381,0.0006986973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003884299,"about_ca_system_score_gemma":0.0003263188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131729,"about_ca_topic_score_gemma":0.002004928,"domain_scores_codex":[0.9995255,0.00006178638,0.00001813046,0.0001407724,0.0002179823,0.00003582288],"domain_scores_gemma":[0.9995222,0.0001965588,0.00005577627,0.00009433819,0.00009884898,0.00003219649],"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":[0.00008738638,0.00003158132,0.00280943,0.0001360355,0.00004203715,0.00009751232,0.00007295065,0.002294938,0.9243136,0.0005907527,0.0009761732,0.06854757],"study_design_scores_gemma":[0.00005295554,0.000238153,0.03673504,0.00003682142,0.00009216472,0.003078371,0.00007537244,0.2305029,0.7115394,0.001044586,0.01642265,0.0001815767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2606157,0.001655707,0.7245415,0.0002474518,0.00009689482,0.0001916585,0.001523447,0.008409862,0.002717728],"genre_scores_gemma":[0.2780583,0.0007985723,0.7166486,0.0001389846,0.00004643488,0.0003040136,0.001417063,0.0003211474,0.002266936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001929314,"threshold_uncertainty_score":0.00645417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959592169368786,"score_gpt":0.2217247705692152,"score_spread":0.2021288488755273,"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."}}