{"id":"W2964839871","doi":"10.14740/jocmr3886","title":"Profiling of Target Molecules for Immunotherapy in Mesenchymal Tumors","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Medicine Research","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ichiro Kanehara Foundation for the Promotion of Medical Sciences and Medical Care; Vanderbilt University Medical Center; Vanderbilt University","keywords":"Medicine; Mesenchymal stem cell; Profiling (computer programming); Immunotherapy; Cancer research; Pathology; Immunology; Immune system","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":[0.0003378335,0.0002978457,0.0004133669,0.001040451,0.0001747503,0.0006831979,0.0001754139,0.0003059758,0.001008906],"category_scores_gemma":[0.0003581765,0.0001141909,0.0002680631,0.0006841221,0.0001411682,0.0003922384,0.0002193454,0.0004241823,0.0006853056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002112628,"about_ca_system_score_gemma":0.0002464889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001265097,"about_ca_topic_score_gemma":0.0002980653,"domain_scores_codex":[0.9998196,0.00003315039,0.00001054401,0.00002722589,0.0000814077,0.00002813598],"domain_scores_gemma":[0.9998782,0.00003141464,0.00002874254,0.000009044786,0.0000377542,0.00001486596],"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":[0.0001448592,0.00004210067,0.001904139,0.0004376907,0.00002189474,0.0001168118,0.00004211408,0.0007048415,0.9441447,0.0005942774,0.0004175243,0.05142899],"study_design_scores_gemma":[0.00002570111,0.001085178,0.02382519,0.0001972015,0.0002074915,0.001355118,0.0002108282,0.005213154,0.8955492,0.001650839,0.07064975,0.00003039351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7939721,0.1091265,0.0742301,0.0008742429,0.0001766444,0.0005901877,0.002929242,0.0004214472,0.01767954],"genre_scores_gemma":[0.8763836,0.05396232,0.05732895,0.0006140743,0.0001033163,0.0004074903,0.003202834,0.0001076467,0.007889709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001040451,"threshold_uncertainty_score":0.003375113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1704392603121948,"score_gpt":0.5377524395820596,"score_spread":0.3673131792698649,"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."}}