{"id":"W1997312624","doi":"10.1155/2012/951574","title":"Role of<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"M1\"><mml:mrow><mml:msup><mml:mtext>p16</mml:mtext><mml:mrow><mml:mtext>INK4A</mml:mtext></mml:mrow></mml:msup></mml:mrow></mml:math>in Replicative Senescence and DNA Damage-Induced Premature Senescence in p53-Deficient Human Cells","year":2012,"lang":"en","type":"article","venue":"Biochemistry Research International","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Cancer Society; Alberta Cancer Foundation","keywords":"Computer science; Algorithm","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":[0.0006144383,0.0005838196,0.0003031462,0.000830963,0.0005920993,0.002731527,0.001046354,0.001176945,0.05068283],"category_scores_gemma":[0.001217795,0.0005326945,0.000496567,0.0008062434,0.0004774541,0.001613545,0.0007745643,0.0008378329,0.02841201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032441,"about_ca_system_score_gemma":0.0009513488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003325233,"about_ca_topic_score_gemma":0.002012955,"domain_scores_codex":[0.99955,0.0001000636,0.00004808092,0.0001062044,0.0001452493,0.00005022363],"domain_scores_gemma":[0.9993523,0.0002046706,0.0001008758,0.0001389068,0.00009640711,0.0001068219],"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":[0.001613167,0.0002434805,0.002237436,0.0009658372,0.00004221746,0.0009307568,0.0005951133,0.002077582,0.7514116,0.03632794,0.04199154,0.1615633],"study_design_scores_gemma":[0.00008011529,0.000143116,0.007535203,0.0001596109,0.00004126406,0.0008579983,0.00013622,0.007507247,0.6512161,0.00450233,0.3277588,0.00006188871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3400455,0.01391723,0.2137144,0.006090708,0.001455855,0.0005233401,0.03974622,0.0341357,0.3503711],"genre_scores_gemma":[0.6176368,0.005444139,0.08516947,0.0008044412,0.0001568761,0.0002133595,0.04096725,0.01206791,0.2375399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05068283,"threshold_uncertainty_score":0.169551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03112264878304502,"score_gpt":0.3044371718469824,"score_spread":0.2733145230639374,"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."}}