{"id":"W2134861793","doi":"10.1007/s00412-002-0225-1","title":"Mouse telomere analysis using an optimized primed in situ (PRINS) labeling technique","year":2003,"lang":"en","type":"article","venue":"Chromosoma","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Hôtel-Dieu de Québec; Hôpital Saint-François d'Assise","funders":"Canadian Institutes of Health Research","keywords":"Telomere; Biology; DNA; Molecular biology; Fluorescence in situ hybridization; In situ; Staining; Chromosome; Genetics; Gene; Chemistry","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":[0.0007444378,0.001051654,0.0004318361,0.001491931,0.0007474187,0.0005245754,0.0007328744,0.0005230393,0.004876431],"category_scores_gemma":[0.0003458694,0.0005298455,0.000622636,0.0006378028,0.0004111714,0.0005117747,0.0004255924,0.001734097,0.001372362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000313763,"about_ca_system_score_gemma":0.0004890903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006799919,"about_ca_topic_score_gemma":0.0018373,"domain_scores_codex":[0.999669,0.00005259421,0.00004004897,0.0001054484,0.00005947173,0.00007348522],"domain_scores_gemma":[0.9997112,0.000062392,0.0000617167,0.00007536628,0.00004464665,0.00004459486],"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":[0.00009880854,0.00001412606,0.0001391307,0.00005072659,0.000009717999,0.0000552562,0.00002958492,0.00004628189,0.9954593,0.0006658036,0.0001021437,0.003329156],"study_design_scores_gemma":[0.00003707031,0.0001587696,0.002541257,0.00001766839,0.00007085909,0.0005728526,0.00003144947,0.0009852777,0.9834135,0.0005336016,0.01162612,0.00001165996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2952411,0.003987242,0.681472,0.0004968084,0.0003559979,0.0005729141,0.002386272,0.003661025,0.01182669],"genre_scores_gemma":[0.4398505,0.005894369,0.5159335,0.0003193867,0.0001326467,0.001146427,0.006127685,0.001063913,0.02953167],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004876431,"threshold_uncertainty_score":0.01631331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03147405618176824,"score_gpt":0.2996048392911467,"score_spread":0.2681307831093784,"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."}}