{"id":"W4406884560","doi":"10.1016/j.trecan.2025.01.004","title":"Think zebras: challenges and opportunities for treating rare cancers","year":2025,"lang":"en","type":"article","venue":"Trends in cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Intensive care medicine; Medicine; Business; Geography","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":[0.00007119235,0.0001085482,0.0001308158,0.00006354589,0.00004455552,0.00001482804,0.00007539114,0.00008399366,0.00001647688],"category_scores_gemma":[0.00002482511,0.0001098089,0.00003848164,0.00004192004,0.00004944432,0.000002623465,0.00005251409,0.00004091217,7.088491e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006891807,"about_ca_system_score_gemma":0.0001258962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002560437,"about_ca_topic_score_gemma":0.005777722,"domain_scores_codex":[0.9994196,0.00001137675,0.0001248693,0.0002434094,0.00003426671,0.0001665205],"domain_scores_gemma":[0.9997168,0.00003482141,0.0000371782,0.0001467553,0.00003135118,0.00003315797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001134025,0.00001767727,0.0005351136,0.00007946925,0.00006184042,0.000002208211,0.0005248517,0.0001941618,0.001994619,0.002468769,0.007652469,0.9863554],"study_design_scores_gemma":[0.004971164,0.0005650369,0.01679755,0.000406931,0.0001348274,0.000004231029,0.005965629,0.0008750445,0.02973686,0.00237255,0.9373589,0.000811291],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7103864,0.2432773,0.0001681663,0.007883593,0.0008010697,0.0002725714,0.0004061485,0.00002448572,0.03678033],"genre_scores_gemma":[0.9095312,0.08411666,0.0002960267,0.001083878,0.000253871,0.000196077,0.00006905102,0.00001861586,0.004434572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9855441,"threshold_uncertainty_score":0.4477878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06097359586865927,"score_gpt":0.327765604963133,"score_spread":0.2667920090944738,"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."}}