{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002063597,0.0009847638,0.001239101,0.002777983,0.0006989334,0.003467276,0.001428609,0.001809544,0.01530792],"category_scores_gemma":[0.003435355,0.0006619349,0.001085014,0.001892818,0.001034451,0.003072473,0.002853234,0.00284766,0.01048676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007555625,"about_ca_system_score_gemma":0.0009165491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002382365,"about_ca_topic_score_gemma":0.0003263272,"domain_scores_codex":[0.9987307,0.0003444646,0.00008167415,0.000164969,0.0005700663,0.0001081447],"domain_scores_gemma":[0.9987254,0.0005532951,0.0001027015,0.0002483146,0.0002286432,0.0001417216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002734191,0.0002699315,0.0007420449,0.003403419,0.0001368279,0.001387959,0.0003839424,0.003782383,0.1120291,0.2324965,0.05620392,0.5888905],"study_design_scores_gemma":[0.00009963295,0.000298338,0.0003586604,0.0006515273,0.00008990107,0.001724267,0.0001386004,0.008155073,0.05350632,0.1414284,0.7934697,0.00007968592],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01399301,0.1948016,0.658773,0.01230095,0.005138226,0.0008165395,0.002833634,0.007825562,0.1035174],"genre_scores_gemma":[0.1294908,0.190728,0.6224502,0.003661276,0.00206417,0.001736137,0.004993773,0.0008799188,0.04399574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01530792,"threshold_uncertainty_score":0.05121017,"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."}}