{"id":"W7066746527","doi":"","title":"Introducing the fractional differentiation for clinical data-justified prostate cancer modelling under IAD therapy","year":2018,"lang":"en","type":"article","venue":"ISU Red - Research and eData (Illinois State University)","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prostate cancer; Radiation therapy; Disease; Cancer; Clinical trial","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002514685,0.0001695173,0.0002786114,0.0002016024,0.0008524805,0.0001133336,0.0007632559,0.0001149258,0.0001378877],"category_scores_gemma":[0.0005956297,0.0001186816,0.00005059736,0.0003686799,0.0007849999,0.0003899232,0.0005235283,0.000531679,0.00001381651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000822964,"about_ca_system_score_gemma":0.0001698755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000121844,"about_ca_topic_score_gemma":0.0001897317,"domain_scores_codex":[0.997606,0.0004076564,0.0003473673,0.0006943792,0.0003911255,0.000553434],"domain_scores_gemma":[0.9952525,0.002925901,0.0001500525,0.0008948176,0.0006130409,0.0001637215],"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":[0.0195533,0.003574498,0.01301998,0.001407216,0.003536398,0.0000743676,0.007732051,0.000616729,0.003606024,0.5364382,0.3581732,0.05226804],"study_design_scores_gemma":[0.00448934,0.001043641,0.001205685,0.0001828587,0.00015104,0.000008169676,0.001916382,0.1924931,0.0009878986,0.6678082,0.129092,0.0006216968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7182527,0.00021347,0.2716209,0.005362973,0.0003863874,0.001766859,0.001665614,0.00009909656,0.0006320068],"genre_scores_gemma":[0.9405488,0.01783239,0.02513438,0.000240491,0.002199584,0.00004242369,0.001847246,0.0001113189,0.01204335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2464865,"threshold_uncertainty_score":0.6556677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4490038557718075,"score_gpt":0.4604830990559693,"score_spread":0.01147924328416189,"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."}}