{"id":"W3001650520","doi":"10.29173/hsi51","title":"Advancing cancer treatment: A move towards individualized therapy","year":2011,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer therapy; Cancer treatment; Medicine; Cancer; Intensive care medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002129596,0.0001885956,0.0004207301,0.0005113784,0.0004819285,0.00002579753,0.0003533443,0.00005393895,0.0006632396],"category_scores_gemma":[0.0001601107,0.0001205406,0.00006751197,0.001721025,0.001838555,0.0003618681,0.00006174605,0.0001860116,0.00004156691],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000688876,"about_ca_system_score_gemma":0.00675144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005624126,"about_ca_topic_score_gemma":0.00009935399,"domain_scores_codex":[0.9964828,0.00003847245,0.0003628749,0.0006111671,0.001280162,0.001224555],"domain_scores_gemma":[0.997905,0.00002985061,0.0001353722,0.0005013286,0.0002377002,0.001190802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002806685,0.0004024861,0.06780633,0.00006778788,0.00001716537,0.00004948581,0.05991592,8.124736e-7,0.003318353,0.0002658629,0.001120284,0.8667548],"study_design_scores_gemma":[0.006874464,0.005035673,0.9174926,0.0004527783,0.00001997682,0.0001553201,0.009740562,0.0003599965,0.02599989,0.0003387789,0.03321642,0.0003135179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808047,0.004026098,0.0001439586,0.004199203,0.001284131,0.001021748,0.000005582534,0.0001151426,0.008399471],"genre_scores_gemma":[0.9763036,0.009541502,0.003216022,0.009429017,0.000541428,0.0001563717,0.000003660826,0.00001874298,0.0007896229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8664413,"threshold_uncertainty_score":0.9988794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2665774243026613,"score_gpt":0.492187698561794,"score_spread":0.2256102742591327,"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."}}