{"id":"W4401805547","doi":"10.1057/978-1-349-96110-8_956","title":"Canadian Cancer Society Research Institute (CCSRI)","year":2024,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Cancer; Library science; Medicine; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001028797,0.0009993741,0.0007461366,0.002017538,0.003148828,0.004615923,0.001264413,0.002610251,0.3249562],"category_scores_gemma":[0.002709073,0.0006138836,0.000457353,0.002984392,0.001118718,0.001172635,0.0014829,0.003527893,0.09845929],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01884953,"about_ca_system_score_gemma":0.04454077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7521614,"about_ca_topic_score_gemma":0.9158473,"domain_scores_codex":[0.9985932,0.00006264501,0.00002700605,0.0001468912,0.0009736756,0.0001966895],"domain_scores_gemma":[0.9984517,0.0002238223,0.00003531636,0.000080916,0.0008015507,0.0004067158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009595416,0.000004536957,0.00004787261,0.00004589673,0.000001226869,0.00002817403,0.00003990785,0.0000534615,0.00005245862,0.007232062,0.956531,0.0359537],"study_design_scores_gemma":[0.000002074282,0.000002095953,0.0001133524,0.00003687111,0.000001129527,0.0000169802,0.00002304945,0.00001871328,0.00003528605,0.0006513198,0.9990964,0.000002682007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003020394,0.01703309,0.0005785029,0.01718637,0.003410792,0.00005793153,0.004948611,0.0004251281,0.9560575],"genre_scores_gemma":[0.0009180231,0.003845414,0.0003924339,0.001320848,0.00007811467,0.00001734094,0.0005671004,0.0001069318,0.9927538],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9811504,"threshold_uncertainty_score":0.962868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05754273411356199,"score_gpt":0.3726253231167013,"score_spread":0.3150825890031393,"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."}}