{"id":"W2588574590","doi":"10.1136/bmjopen-2016-015415.43","title":"43: DESIGNING EVIDENCE BASED RISK ASSESSMENT SYSTEM FOR CANCER SCREENING AS AN APPLICABLE APPROACH FOR THE ESTIMATING OF TREATMENT ROADMAP","year":2017,"lang":"en","type":"article","venue":"BMJ Open","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Risk assessment; Biostatistics; Public health; Risk analysis (engineering); Intensive care medicine; 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":[],"consensus_categories":[],"category_scores_codex":[0.0257711,0.001197331,0.001216492,0.01091286,0.001611107,0.006711339,0.002247041,0.002211214,0.01420104],"category_scores_gemma":[0.067141,0.0007963625,0.002899737,0.004313844,0.0006483414,0.004493258,0.002560313,0.001431228,0.002817434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002587859,"about_ca_system_score_gemma":0.009803344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005053313,"about_ca_topic_score_gemma":0.004000305,"domain_scores_codex":[0.9773342,0.01020543,0.005494768,0.001685926,0.004821002,0.0004588127],"domain_scores_gemma":[0.9593392,0.02021605,0.003894443,0.002157679,0.01364909,0.0007434331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008643642,0.0007853795,0.06520343,0.01803235,0.001145172,0.000996171,0.002325981,0.03286298,0.004218887,0.04534268,0.05334606,0.7748766],"study_design_scores_gemma":[0.00145746,0.001839128,0.0739148,0.02531852,0.005643317,0.00385556,0.004691999,0.299871,0.02502971,0.1538403,0.4038524,0.0006857882],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05018348,0.01029153,0.8081832,0.02197652,0.0007291629,0.01855724,0.01660377,0.008475116,0.06499995],"genre_scores_gemma":[0.1754486,0.003648557,0.8028026,0.001063957,0.0001911817,0.006549318,0.00692465,0.0001440783,0.003226996],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0257711,"threshold_uncertainty_score":0.1362922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3088252694279616,"score_gpt":0.4342699595335014,"score_spread":0.1254446901055398,"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."}}