{"id":"W2741959494","doi":"","title":"A REVIEW ON CANCER RESEARCH FUNDING","year":2015,"lang":"en","type":"review","venue":"","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Disease; China; Cancer prevention; Political science; Economic growth; Medicine; Economics; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003065995,0.001014635,0.001992331,0.007897176,0.0007153197,0.002718338,0.001540486,0.002070064,0.01455639],"category_scores_gemma":[0.01092564,0.0004988216,0.001534271,0.01206478,0.000741176,0.002540767,0.001293458,0.002024122,0.003599725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002594,"about_ca_system_score_gemma":0.00869513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003471019,"about_ca_topic_score_gemma":0.004635763,"domain_scores_codex":[0.9975255,0.0006934196,0.0005021958,0.0002388757,0.0008743833,0.0001656137],"domain_scores_gemma":[0.9931597,0.004478634,0.0007473999,0.0001336809,0.001237929,0.0002426779],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008759551,0.0000442659,0.0003172413,0.08856572,0.0002352751,0.0002367717,0.000190011,0.0002772684,0.0002817529,0.006802436,0.1010007,0.8019611],"study_design_scores_gemma":[0.00001553179,0.00003230938,0.0006149341,0.0340379,0.0001840594,0.0006895538,0.00008823098,0.00002822146,0.0000744099,0.001526073,0.9626944,0.00001434193],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004610173,0.997457,0.00006639642,0.0007712719,0.0003836886,0.00001025062,0.00005497584,0.000005916444,0.00120454],"genre_scores_gemma":[0.0004321363,0.9986492,0.00011714,0.0002768443,0.0001967911,0.00001026072,0.00006651827,0.000002017232,0.0002492325],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.996934,"threshold_uncertainty_score":0.04869592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4967831510929862,"score_gpt":0.6791256583456763,"score_spread":0.1823425072526901,"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."}}