{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00362481,0.0004361813,0.0008403175,0.0009082409,0.001432601,0.003939213,0.0009010302,0.002389058,0.01696443],"category_scores_gemma":[0.005864026,0.0002315731,0.0006250794,0.0005908408,0.003271886,0.004859361,0.002497822,0.006789485,0.00555032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389196,"about_ca_system_score_gemma":0.002572405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002511738,"about_ca_topic_score_gemma":0.007584491,"domain_scores_codex":[0.9987936,0.0005235033,0.00006104657,0.0001128163,0.0003424804,0.0001664952],"domain_scores_gemma":[0.9976367,0.00105904,0.0002444455,0.0001213412,0.0004536402,0.0004849554],"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":[0.0009086842,0.0002360188,0.004127784,0.001919775,0.0001816629,0.0006750356,0.0009885569,0.0005716109,0.00456394,0.06873116,0.3189052,0.5981905],"study_design_scores_gemma":[0.0001688574,0.0002681263,0.001220322,0.001063591,0.00008657876,0.001235256,0.001740291,0.0002313934,0.0009704906,0.04984404,0.943124,0.00004711256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009329951,0.3431139,0.01153178,0.5979686,0.01004281,0.00005238294,0.00030226,0.0004795025,0.02717886],"genre_scores_gemma":[0.1891713,0.4680502,0.03741375,0.2410605,0.0146723,0.000219937,0.0007605522,0.0006357846,0.04801562],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01696443,"threshold_uncertainty_score":0.05675167,"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."}}