{"id":"W4403377302","doi":"10.53555/sfs.v10i1.3093","title":"Mathematical Modeling Of Cancerous Tumor For Reducing Growth As Consequence Of Cancer Treatment","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Cancer treatment; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004406125,0.000164066,0.0008204516,0.000259768,0.00007162834,0.0000208199,0.0004354996,0.00005824102,0.0001335779],"category_scores_gemma":[0.006374078,0.0001111436,0.0001382247,0.00076086,0.0007485715,0.0001919047,0.00004978627,0.0001053269,0.000001932894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236581,"about_ca_system_score_gemma":0.0006200006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001295563,"about_ca_topic_score_gemma":0.0004729542,"domain_scores_codex":[0.9975756,0.0002052668,0.001272669,0.000190244,0.0004340475,0.0003221411],"domain_scores_gemma":[0.9947979,0.003675241,0.0008592401,0.0001473602,0.0004452738,0.00007493371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003817784,0.003775924,0.7287621,0.01183436,0.001253388,0.0006844158,0.02681435,0.01483953,0.03737944,0.1615386,0.004444069,0.004855987],"study_design_scores_gemma":[0.001688946,0.003623635,0.005379606,0.002121046,0.0001310865,0.0003433597,0.002672684,0.02761113,0.0325705,0.9234045,0.00001588339,0.0004376263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976159,0.0001380498,0.0007408747,0.0003722963,0.0001415346,0.0002635833,0.00005607681,0.00001190628,0.0006597723],"genre_scores_gemma":[0.9872023,0.0001114529,0.01248637,0.00001320216,0.00003230795,0.00002969968,7.481653e-7,0.00001282638,0.0001111289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7618659,"threshold_uncertainty_score":0.7630827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.359883032231524,"score_gpt":0.3891063692469666,"score_spread":0.02922333701544261,"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."}}