{"id":"W1507713507","doi":"10.1002/cncy.21282","title":"Targeting a murky cancer reservoir","year":2013,"lang":"en","type":"article","venue":"Cancer Cytopathology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cancer; Intensive care medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001587953,0.0001977996,0.000458051,0.0001060421,0.0000894149,0.00001969747,0.0001269633,0.0001325648,0.009001],"category_scores_gemma":[0.00006768967,0.0001659042,0.0001183413,0.0002484245,0.0001399183,0.0001042862,0.00008558953,0.0002897382,0.0002753735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002270243,"about_ca_system_score_gemma":0.0002954064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002869762,"about_ca_topic_score_gemma":0.000164596,"domain_scores_codex":[0.9984879,0.00005689724,0.0003026294,0.0004425852,0.0001763886,0.0005336175],"domain_scores_gemma":[0.9990513,0.00003310908,0.0001073673,0.0003527803,0.0002288745,0.0002266092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000292104,0.0001884736,0.1748948,0.0004567254,0.0001566619,0.0004147155,0.001263788,0.0002638735,0.5024498,0.0002989308,0.177727,0.1415931],"study_design_scores_gemma":[0.004341505,0.0004553994,0.1070429,0.000321514,0.0004425899,0.000316159,0.0006506126,0.0005051832,0.03769356,0.0005708563,0.8469098,0.000749935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618531,0.0206944,0.0002245514,0.009065417,0.001367591,0.000688884,0.00004482011,0.0001315287,0.005929633],"genre_scores_gemma":[0.9759672,0.005788422,0.001444038,0.005765693,0.001419852,0.001349593,0.00002339484,0.00006332704,0.00817852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6691828,"threshold_uncertainty_score":0.9919049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714925934614145,"score_gpt":0.3180010804158236,"score_spread":0.2908518210696822,"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."}}