{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003940469,0.001393348,0.002143379,0.004765339,0.0003883396,0.002615092,0.001900221,0.002213009,0.005379052],"category_scores_gemma":[0.002799331,0.000718911,0.00110646,0.002478634,0.001517627,0.003668411,0.001373618,0.004855331,0.004704986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129274,"about_ca_system_score_gemma":0.002122517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032157,"about_ca_topic_score_gemma":0.001332453,"domain_scores_codex":[0.9980103,0.0004839217,0.0001733021,0.0002017952,0.001040529,0.00009009668],"domain_scores_gemma":[0.9970564,0.001795792,0.0002260484,0.0001230674,0.0006624464,0.0001363462],"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":[0.00005477517,0.0001756899,0.0001572788,0.01372993,0.00005859567,0.0002415128,0.0001417309,0.0007346534,0.00785889,0.02045834,0.02156072,0.934828],"study_design_scores_gemma":[0.00001223485,0.0001712794,0.000354657,0.002684757,0.00004823627,0.0008456631,0.00007506387,0.0002233115,0.002501717,0.004502631,0.9885499,0.00003057056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002828956,0.9847185,0.005044843,0.001189031,0.0005754187,0.00005826023,0.00005155037,0.00008131473,0.007998168],"genre_scores_gemma":[0.001693526,0.9894888,0.004684093,0.0007798042,0.0004629021,0.00006080687,0.00009574405,0.00002017332,0.002714074],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005379052,"threshold_uncertainty_score":0.02083939,"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."}}