{"id":"W4407251930","doi":"10.26685/urncst.735","title":"Novel Methods of Personalized Treatment in Colorectal Cancer: A Literature Review","year":2025,"lang":"en","type":"review","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Personalized medicine; Medicine; Colorectal cancer; Precision medicine; Clinical trial; Translational research; Cancer; Bioinformatics; Intensive care medicine; Internal medicine; Pathology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002395954,0.0008629991,0.00220322,0.007089416,0.0006081675,0.001898316,0.001268656,0.001590471,0.005518588],"category_scores_gemma":[0.008335561,0.0003887122,0.002556868,0.007034045,0.0007422298,0.002439,0.0009952153,0.001462013,0.0009850153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359321,"about_ca_system_score_gemma":0.005732032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002613549,"about_ca_topic_score_gemma":0.00427593,"domain_scores_codex":[0.9985506,0.000339405,0.0005062002,0.0001540679,0.0003851765,0.00006456601],"domain_scores_gemma":[0.9925605,0.005723549,0.0006797515,0.0001221611,0.0008120057,0.0001019958],"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":[0.0001519132,0.00007029008,0.0005789042,0.2989559,0.0006656049,0.000303003,0.0003208639,0.0003900479,0.0004774343,0.003376248,0.01730382,0.677406],"study_design_scores_gemma":[0.00008429878,0.0002481441,0.003994336,0.3415046,0.005322804,0.003362768,0.0004988066,0.00036633,0.000672961,0.004274092,0.6395926,0.00007818983],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001426504,0.9983766,0.0001868989,0.0005092734,0.0001420365,0.00002378495,0.00005326543,0.00000514419,0.0005603624],"genre_scores_gemma":[0.001157513,0.9978224,0.0003744612,0.0003288459,0.000136974,0.00002885272,0.00005308326,0.000002169765,0.00009566147],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007089416,"threshold_uncertainty_score":0.01846153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1327797303775324,"score_gpt":0.5569735492807032,"score_spread":0.4241938189031708,"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."}}