{"id":"W3172553396","doi":"10.1210/clinem/dgab424","title":"A High-throughput Approach to Identify Effective Systemic Agents for the Treatment of Anaplastic Thyroid Carcinoma","year":2021,"lang":"en","type":"article","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"National Cancer Institute; Fonds de Recherche du Québec - Santé; Cancer Prevention and Research Institute of Texas","keywords":"Medicine; Anaplastic thyroid cancer; Docetaxel; Thyroid carcinoma; Oncology; In vivo; Thyroid; Internal medicine; Cancer research; Context (archaeology); Clinical trial; Thyroid cancer; Cancer; Pharmacology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006750125,0.0008978731,0.001273446,0.001278091,0.0004665402,0.001144905,0.0005236142,0.0004947442,0.001990938],"category_scores_gemma":[0.0005945893,0.0004007962,0.0007029591,0.001072264,0.0002823586,0.0004013324,0.0004711746,0.0008116215,0.001056725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008276721,"about_ca_system_score_gemma":0.0009907547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001526952,"about_ca_topic_score_gemma":0.005347148,"domain_scores_codex":[0.9994742,0.00007812038,0.00003558396,0.00008926179,0.0002658613,0.00005700732],"domain_scores_gemma":[0.9996855,0.00009538136,0.000045034,0.00003755411,0.0001026187,0.00003388178],"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":[0.0005168962,0.0006983242,0.003329133,0.0006601507,0.0001335364,0.0002246557,0.00005700901,0.006145725,0.9370952,0.0004455159,0.002627223,0.04806666],"study_design_scores_gemma":[0.000340782,0.005511818,0.01718979,0.0001020342,0.0005965439,0.001502036,0.0001880045,0.05074158,0.8922899,0.0008119944,0.03062213,0.0001033539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8082459,0.02658065,0.1236783,0.001486168,0.0002720449,0.003564954,0.0184997,0.00292381,0.01474857],"genre_scores_gemma":[0.8686241,0.01256815,0.0937089,0.0005446256,0.0001403344,0.001896935,0.01508854,0.0001639634,0.007264563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001990938,"threshold_uncertainty_score":0.006660342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06638548796364477,"score_gpt":0.4041568747455431,"score_spread":0.3377713867818983,"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."}}