{"id":"W4214693600","doi":"10.23889/ijpds.v7i2.1736","title":"Improving the diagnosis of cancer in primary care: a feasibility economic analysis of the ThinkCancer! study.","year":2022,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intervention (counseling); Medicine; Welsh; Attendance; Health care; Government (linguistics); Cancer; Activity-based costing; Family medicine; Nursing; Medical emergency; Business; Political science; 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":[0.04104825,0.002196286,0.002852967,0.002270099,0.001093016,0.002925104,0.00239716,0.003909923,0.01491478],"category_scores_gemma":[0.07251214,0.001641491,0.007451169,0.002910101,0.002187313,0.003321999,0.00435454,0.004465956,0.001128601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01441554,"about_ca_system_score_gemma":0.01563187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02784626,"about_ca_topic_score_gemma":0.01674587,"domain_scores_codex":[0.9526333,0.04023026,0.001288625,0.0009126028,0.001877276,0.003057952],"domain_scores_gemma":[0.9393829,0.04554405,0.005887281,0.002219631,0.002752274,0.004213919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.5434244,0.05044885,0.04874641,0.03962587,0.0303278,0.002008328,0.002100722,0.09463575,0.001101626,0.02483396,0.02619607,0.1365502],"study_design_scores_gemma":[0.3944118,0.2446755,0.0914949,0.01465583,0.03596989,0.001453715,0.008355798,0.1438386,0.002253274,0.0193126,0.04241464,0.001163559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7554196,0.01728432,0.01675485,0.01211853,0.001178024,0.149266,0.02845329,0.0002402612,0.01928515],"genre_scores_gemma":[0.8975399,0.002753701,0.01370367,0.002710153,0.0002100882,0.07775231,0.00342856,0.00004253049,0.001859056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04104825,"threshold_uncertainty_score":0.2170864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1273133503678616,"score_gpt":0.4803032419438475,"score_spread":0.3529898915759859,"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."}}