{"id":"W2611884014","doi":"","title":"Horizon Scanning in Oncology: Results of the 27th Prioritisation – 2nd quarter 2016","year":2016,"lang":"en","type":"article","venue":"","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Medicine; Medical physics; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0326708,0.001003162,0.001463536,0.004076146,0.0007990615,0.003524363,0.001208458,0.001521231,0.009292652],"category_scores_gemma":[0.0457349,0.0006207518,0.002493479,0.004979185,0.0004863959,0.001703345,0.003065172,0.001613253,0.003375812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008103662,"about_ca_system_score_gemma":0.01843586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05279133,"about_ca_topic_score_gemma":0.04456781,"domain_scores_codex":[0.9859588,0.005303404,0.0009426345,0.0005568167,0.005558182,0.001680216],"domain_scores_gemma":[0.9577062,0.01340768,0.006354365,0.001673901,0.01451446,0.00634343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01155055,0.001390853,0.03789048,0.003542836,0.000927588,0.0001204055,0.0004396475,0.008019743,0.001126273,0.004094809,0.4448443,0.4860525],"study_design_scores_gemma":[0.006924892,0.004869179,0.429794,0.005519668,0.002600848,0.0004123993,0.001429856,0.01287311,0.006947875,0.00651836,0.5217586,0.0003511656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3868605,0.1199961,0.01131515,0.1567801,0.005285551,0.004807834,0.1772258,0.002715224,0.1350138],"genre_scores_gemma":[0.6225051,0.07134597,0.03554859,0.03986086,0.004813723,0.004063939,0.1888713,0.001177471,0.0318129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05279133,"threshold_uncertainty_score":0.1727818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2420925825893905,"score_gpt":0.414885092104722,"score_spread":0.1727925095153314,"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."}}