{"id":"W2146137635","doi":"10.1186/1742-4682-10-29","title":"Determination of the optimal tubulin isotype target as a method for the development of individualized cancer chemotherapy","year":2013,"lang":"en","type":"article","venue":"Theoretical Biology and Medical Modelling","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Isotype; Cancer; Cancer cell; Biology; Tubulin; Cancer research; Drug; Immunology; Antibody; Computational biology; Microtubule; Cell biology; Genetics; Pharmacology; Monoclonal antibody","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":[],"consensus_categories":[],"category_scores_codex":[0.0005958435,0.00009300401,0.0001608669,0.00001283647,0.00007354758,0.000003115816,0.0002110345,0.0002486872,0.0001478523],"category_scores_gemma":[0.0001576112,0.00004879013,0.00006396001,0.00003395508,0.000547613,0.000001629619,0.00008703383,0.00009517669,5.040808e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003541724,"about_ca_system_score_gemma":0.0001271536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001295686,"about_ca_topic_score_gemma":0.000002978525,"domain_scores_codex":[0.9992403,0.0000955248,0.0002628503,0.0001661748,0.00008249371,0.0001526809],"domain_scores_gemma":[0.9994562,0.0001921721,0.00008384516,0.0001338174,0.00008217556,0.00005175006],"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":[0.0006658234,0.0002020512,0.0007487549,0.0001260836,0.0003571142,1.095543e-7,0.001655716,0.0006362227,0.4877201,0.1748206,0.00008859004,0.3329788],"study_design_scores_gemma":[0.001258234,0.0002524952,0.0001012209,0.00006328865,0.00006948854,0.000005949133,0.0001272557,0.2964492,0.6514251,0.04558884,0.004484517,0.0001744512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3475446,0.0005555152,0.6508887,0.0006545774,0.00004791899,0.0002441149,0.000007165048,0.000001763102,0.00005572278],"genre_scores_gemma":[0.8648946,0.0005410791,0.1337526,0.0005963837,0.00006205282,0.00009441759,0.00001912668,0.000009212384,0.00003049913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5173501,"threshold_uncertainty_score":0.2017703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024950702487064,"score_gpt":0.3069507259808625,"score_spread":0.2967012189559918,"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."}}