{"id":"W3007585147","doi":"10.1093/jcag/gwz047.006","title":"A7 DEVELOPING NEW TOOLS TO IDENTIFY NOVELS TARGETS TO OVERCOME TREATMENT RESISTANCE IN ESOPHAGEAL CANCER","year":2020,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Cancer stem cell; Esophageal cancer; Medicine; Cancer; Flow cytometry; Radiation therapy; Population; Chemotherapy; Cancer research; Oncology; Stem cell; Cell; Cell culture; Internal medicine; Immunology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006478254,0.0006769752,0.000748881,0.00098062,0.0003182868,0.001164421,0.0005650542,0.0009727191,0.005189445],"category_scores_gemma":[0.0003861092,0.0003099083,0.000873945,0.0004897273,0.0003455417,0.0008206106,0.0005654347,0.001255843,0.001863997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005303348,"about_ca_system_score_gemma":0.0004585264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004940738,"about_ca_topic_score_gemma":0.0007488978,"domain_scores_codex":[0.9997088,0.00006177757,0.00002366522,0.00005721484,0.00009707247,0.00005130378],"domain_scores_gemma":[0.9997869,0.00003896046,0.00004806595,0.0000252736,0.00006674436,0.00003415066],"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":[0.0002227404,0.0002708826,0.001102562,0.001249861,0.00007028998,0.0002058111,0.00006876748,0.001214558,0.913236,0.002007954,0.002306849,0.07804364],"study_design_scores_gemma":[0.000140332,0.003106526,0.007918511,0.0003324253,0.0002797184,0.00110093,0.0002688013,0.01118572,0.830552,0.002721503,0.1423333,0.00006020587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5742264,0.1782779,0.1827097,0.007613769,0.002199556,0.001688431,0.00505862,0.004396073,0.0438296],"genre_scores_gemma":[0.7984395,0.06656481,0.1026897,0.002484006,0.000313944,0.001411815,0.003963986,0.0002192286,0.02391314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005189445,"threshold_uncertainty_score":0.01736045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03658082025162767,"score_gpt":0.3086110667895344,"score_spread":0.2720302465379067,"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."}}