{"id":"W3134083417","doi":"10.1158/1538-7445.tme21-po006","title":"Abstract PO006: Heating up the fight against cancer using 3D bioprinting","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University","funders":"","keywords":"Tumor microenvironment; Immune system; Cancer-Associated Fibroblasts; Immunotherapy; Cancer research; Cancer immunotherapy; Tumor-infiltrating lymphocytes; Cancer; Medicine; Biology; Immunology; Internal medicine","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":[0.0001883365,0.0002638861,0.0001480053,0.0002184521,0.0001553724,0.0003667325,0.0002862238,0.000510123,0.001600175],"category_scores_gemma":[0.0001546296,0.0001628022,0.0003275087,0.0001126462,0.0002349897,0.0002525298,0.0002583523,0.0004624186,0.0005060481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003121402,"about_ca_system_score_gemma":0.0001296584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004780976,"about_ca_topic_score_gemma":0.0007161747,"domain_scores_codex":[0.9998578,0.00001040344,0.000005053131,0.0000300893,0.00007812576,0.00001858139],"domain_scores_gemma":[0.9998902,0.0000320964,0.00002954891,0.00001641761,0.00001541136,0.00001630304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003641301,0.00003083379,0.0001663457,0.0001079372,0.000009218364,0.00009125919,0.00003799499,0.004463774,0.9825574,0.0005539879,0.0008093174,0.01113554],"study_design_scores_gemma":[0.00001766364,0.000246896,0.001811946,0.00002138206,0.00001711628,0.0002283119,0.00002414283,0.02873976,0.9455159,0.000369024,0.02297604,0.00003175731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7521011,0.006642635,0.2112764,0.0007357075,0.0007709717,0.0002499495,0.001416944,0.003035895,0.0237704],"genre_scores_gemma":[0.8953744,0.00190026,0.09235008,0.0002907158,0.00008367427,0.0001925291,0.0004809477,0.0002088523,0.009118588],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.001600175,"threshold_uncertainty_score":0.005353093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2134307626132334,"score_gpt":0.4741941833476058,"score_spread":0.2607634207343724,"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."}}