{"id":"W2883452312","doi":"10.1101/370973","title":"Making headlines: An analysis of US government-funded cancer research mentioned in online media","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Cancer Institute; Uniformed Services University of the Health Sciences; Social Sciences and Humanities Research Council of Canada; U.S. Department of Defense","keywords":"Government (linguistics); Cancer; Cancer prevention; News media; Breast cancer; Media coverage; Social media; Medicine; Public relations; Political science; Media studies; Sociology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009667079,0.000422011,0.0005396005,0.02367473,0.000932616,0.003570163,0.0009643537,0.0009936331,0.005241777],"category_scores_gemma":[0.09078064,0.0002885583,0.0007425397,0.03093492,0.0006615057,0.003451063,0.002561658,0.0007142727,0.0009374248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165705,"about_ca_system_score_gemma":0.002290306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008705971,"about_ca_topic_score_gemma":0.009716392,"domain_scores_codex":[0.9887741,0.003822307,0.002901351,0.0008618944,0.002858214,0.0007821065],"domain_scores_gemma":[0.749757,0.1231853,0.09995622,0.004549245,0.0186736,0.003878702],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005111697,0.0001785897,0.9414548,0.001981921,0.0003144692,0.0004585737,0.006513969,0.0001122659,0.0003689493,0.0005191641,0.008710009,0.03887615],"study_design_scores_gemma":[0.00002081466,0.00009609781,0.9768248,0.0008075336,0.0002626741,0.0004047767,0.01177537,0.0004970215,0.0003529385,0.0002281443,0.008699642,0.0000303472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668209,0.004984433,0.0003425504,0.002237228,0.0001492047,0.0002373467,0.01751283,0.00005729966,0.007658192],"genre_scores_gemma":[0.9824032,0.004095955,0.0009541343,0.0008158303,0.0005022403,0.000384202,0.009313422,0.00005695958,0.001474086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9903329,"threshold_uncertainty_score":0.05112505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4294740041016652,"score_gpt":0.4795293725153194,"score_spread":0.05005536841365421,"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."}}