{"id":"W4386564005","doi":"10.3390/cancers15184466","title":"Preclinical Testing Techniques: Paving the Way for New Oncology Screening Approaches","year":2023,"lang":"en","type":"review","venue":"Cancers","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Preclinical testing; In vivo; Drug development; Drug discovery; Medicine; Personalized medicine; Translational research; Clinical trial; Preclinical research; Drug; Computational biology; In vitro toxicology; Animal testing; 3D cell culture; Pharmacology; Bioinformatics; Biology; In vitro; Pathology; Medical physics; Biotechnology","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":[0.002180409,0.0003387351,0.001030739,0.0001609,0.0001368835,0.00006842178,0.0009937254,0.0006082148,0.00001840542],"category_scores_gemma":[0.004842021,0.0002374251,0.0003509544,0.0007760658,0.0001903939,0.00003659888,0.0002684193,0.001379355,0.00003851917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001771701,"about_ca_system_score_gemma":0.001763853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008786122,"about_ca_topic_score_gemma":0.0000202689,"domain_scores_codex":[0.997716,0.0001246852,0.0007192328,0.0004422342,0.0003010558,0.0006967563],"domain_scores_gemma":[0.9909803,0.008128903,0.0001510064,0.0004787331,0.00004239221,0.000218615],"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":[0.000001311623,0.0000011248,8.09884e-7,0.009839681,0.0001453027,0.000003315377,0.00003028819,0.0002640795,4.144873e-7,0.00003752722,0.009299651,0.9803765],"study_design_scores_gemma":[0.00006781749,0.00005380052,7.208965e-7,0.01089021,0.000159292,0.000007859668,0.00002865324,0.008285859,0.000003668757,0.00009673096,0.9801565,0.000248885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.234514e-7,0.9668958,0.02508513,0.00008056647,0.000599383,0.001844594,0.00002357139,0.00113223,0.004338422],"genre_scores_gemma":[0.000001836771,0.9540274,0.04158776,0.00002256647,0.001912758,0.001454443,0.00003237784,0.0002128629,0.0007480053],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9801276,"threshold_uncertainty_score":0.9681916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5372177811093268,"score_gpt":0.4754512965525537,"score_spread":0.06176648455677314,"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."}}