{"id":"W2888180861","doi":"10.1038/protex.2018.096","title":"Using NEPC cell NCI-H660 for in vitro assays","year":2018,"lang":"en","type":"article","venue":"Protocol Exchange","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"In vitro; Cell; Chemistry; Computational biology; Biology; Cell biology; Molecular biology; Biochemistry","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":[0.0007244943,0.0001410647,0.0001630151,0.0001922909,0.00005831751,0.00004248594,0.0002710324,0.0001349052,0.0002960894],"category_scores_gemma":[0.0001587717,0.0001392344,0.00004575773,0.0003330069,0.00008447882,0.00008701086,0.0001184567,0.0002073878,0.0001158885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001733906,"about_ca_system_score_gemma":0.00003964728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000387669,"about_ca_topic_score_gemma":0.00001635121,"domain_scores_codex":[0.9986635,0.00003555486,0.0002248802,0.0002190662,0.0002756131,0.0005814133],"domain_scores_gemma":[0.999414,0.0001076489,0.00002591042,0.0002491875,0.00007695166,0.0001262451],"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":[0.0003410972,0.0002241422,0.0006397629,0.004584332,0.00002462578,0.00001978729,0.00112937,0.00008329089,0.889805,0.00006959902,0.009476324,0.09360268],"study_design_scores_gemma":[0.001712562,0.0001484415,0.0002151382,0.0001114161,0.000003386423,0.00000211192,0.00001861249,0.1600759,0.5321671,0.0005663832,0.3046979,0.0002810769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01981293,0.00005512848,0.1067111,0.0002418122,0.000675448,0.8181083,0.00005178047,0.001028736,0.05331481],"genre_scores_gemma":[0.08772942,0.000001360298,0.03970272,0.00008798797,0.00113267,0.8707932,0.000005437156,0.0001163702,0.000430789],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.3576379,"threshold_uncertainty_score":0.5677814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08560517373509248,"score_gpt":0.3765435103021578,"score_spread":0.2909383365670654,"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."}}