{"id":"W2179237675","doi":"10.1016/j.molcel.2015.11.006","title":"Targeting Mitosis in Cancer: Emerging Strategies","year":2015,"lang":"en","type":"review","venue":"Molecular Cell","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":496,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research","keywords":"Biology; Mitosis; Cell cycle; Cancer; Cell cycle checkpoint; Computational biology; Genome instability; Cancer research; Bioinformatics; Cell biology; Genetics; DNA damage; DNA","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002405254,0.000503356,0.000884645,0.000149824,0.00003878536,0.00006562848,0.0004506991,0.0005531383,0.00001887624],"category_scores_gemma":[0.00001810773,0.00049271,0.0003786683,0.0002392972,0.00003925114,0.000004186172,0.0002513823,0.0003341355,0.00002559977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008346314,"about_ca_system_score_gemma":0.0007046955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001208456,"about_ca_topic_score_gemma":0.00005552928,"domain_scores_codex":[0.9979392,0.0001830599,0.0005363109,0.0006871904,0.0001736677,0.0004805429],"domain_scores_gemma":[0.9990699,0.000006154206,0.0002531811,0.0004871144,0.00007219503,0.000111455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001781707,0.0002768809,0.00003027647,0.01691484,0.000363185,0.0002284971,0.000135162,0.001116167,0.07750597,0.00006771576,0.01096994,0.8923736],"study_design_scores_gemma":[0.0001986228,0.0000478264,1.03538e-7,0.000971179,0.0001936506,0.00000514819,0.00007391872,0.0000225607,0.001897184,0.00001249936,0.9960333,0.0005440367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004349855,0.9954394,0.0006759852,0.000008001208,0.0002593849,0.0004806822,0.00005248879,0.00001541209,0.002633686],"genre_scores_gemma":[0.0002514472,0.9974499,0.0004881345,0.00006205998,0.0002126823,0.0001732392,0.0008122863,0.0001200363,0.0004302037],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9850633,"threshold_uncertainty_score":0.9997525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837834317834443,"score_gpt":0.3073261492278631,"score_spread":0.2889478060495187,"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."}}