{"id":"W4391383352","doi":"10.1177/10732748241230869","title":"Adaptive Control of Tumor Growth","year":2024,"lang":"en","type":"article","venue":"Cancer Control","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Medicine; Cancer; Disease; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003878081,0.0002197049,0.0006246592,0.00009743619,0.0000336292,0.00002028702,0.0002446153,0.00008064861,0.0007567151],"category_scores_gemma":[0.0005771383,0.000164091,0.0002036514,0.0001882774,0.0001949395,0.00008086637,0.00002397423,0.0002275519,0.00008474229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008265828,"about_ca_system_score_gemma":0.0001477457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000221741,"about_ca_topic_score_gemma":0.000009028209,"domain_scores_codex":[0.9985546,0.0001120677,0.0004712312,0.000313284,0.0002159189,0.0003328978],"domain_scores_gemma":[0.9976406,0.001694217,0.0001264829,0.0002712163,0.0001627295,0.0001047187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001604297,0.00008330097,0.0006430945,0.000701822,0.0004869279,0.00007200913,0.0002532581,0.000002173902,0.004778962,0.9873908,0.004474521,0.0009527336],"study_design_scores_gemma":[0.004243899,0.0003928752,0.0003717935,0.0007784759,0.0007907913,0.00004954181,0.000123815,0.0227301,0.006815475,0.9613417,0.001836419,0.0005250809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1489982,0.02261592,0.7531204,0.008895673,0.003069369,0.00489938,0.002007079,0.001705792,0.05468818],"genre_scores_gemma":[0.997748,0.00001333381,0.0008224508,0.0004582997,0.0002456102,0.0002792787,9.193923e-7,0.0000412018,0.0003908626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8487498,"threshold_uncertainty_score":0.82855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753988079105226,"score_gpt":0.3001605945823165,"score_spread":0.2726207137912642,"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."}}