{"id":"W2137868254","doi":"10.5430/jst.v2n1p34","title":"Discovery tools for solid tumor research","year":2012,"lang":"en","type":"article","venue":"Journal of Solid Tumors","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Solid tumor; Cancer; Medicine; Cancer research; Cancer cell lines; Cell culture; Oncology; Pathology; Cancer cell; Internal medicine; Biology","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":[0.004633253,0.0001385842,0.0003505884,0.0004193965,0.0001091478,0.0001652634,0.0005386916,0.00007016209,0.00006919263],"category_scores_gemma":[0.003309611,0.0001125039,0.0001838585,0.0003721295,0.0001614066,0.001168902,0.0001134606,0.0009219837,0.00007425364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002307062,"about_ca_system_score_gemma":0.0001446196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002224869,"about_ca_topic_score_gemma":5.548358e-7,"domain_scores_codex":[0.9971065,0.00008596914,0.0006370054,0.00009665253,0.001058327,0.00101556],"domain_scores_gemma":[0.9975926,0.001294223,0.0001051812,0.0002221787,0.0003599406,0.0004258873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009001086,0.001408878,0.01459724,0.00316646,0.001132357,0.000715052,0.004253343,0.007281234,0.4618291,0.00767793,0.3990426,0.09799572],"study_design_scores_gemma":[0.004556071,0.002084305,0.0659208,0.002319282,0.0001109288,0.002193059,0.00340049,0.01557709,0.6464222,0.00908265,0.2467723,0.001560741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862521,0.000962236,0.008102924,0.000414003,0.001407894,0.0002877316,0.00002493344,0.00005160214,0.002496565],"genre_scores_gemma":[0.9948013,0.00008680025,0.002551359,0.00003923716,0.002118587,0.00001711894,0.000001522998,0.0000550414,0.000329052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1845932,"threshold_uncertainty_score":0.4587777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09377084107791576,"score_gpt":0.397897441555875,"score_spread":0.3041266004779592,"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."}}