{"id":"W2395931950","doi":"","title":"A rural CT scanner: evaluating the effect on local health care.","year":2006,"lang":"en","type":"article","venue":"PubMed","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Scanner; Christian ministry; Rural area; Computed tomography; Health care; Rural population; Population; Family medicine; Environmental health; Radiology","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":[0.002707777,0.0002752219,0.0001276575,0.0004353086,0.0006924843,0.0004864156,0.0005404939,0.0003334418,0.004075496],"category_scores_gemma":[0.012309,0.0002044722,0.0003934499,0.0006222169,0.0008467319,0.000415203,0.0007261771,0.0003494911,0.0002733779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006287977,"about_ca_system_score_gemma":0.005545966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1386953,"about_ca_topic_score_gemma":0.2906611,"domain_scores_codex":[0.997218,0.001647049,0.00009150217,0.0001196551,0.0006299997,0.0002937257],"domain_scores_gemma":[0.9922878,0.002580608,0.001960488,0.0001963283,0.001270963,0.001703933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008880428,0.004094193,0.9049498,0.0008112771,0.000243368,0.001272365,0.004747242,0.00140358,0.00304446,0.0002606172,0.002508702,0.06778394],"study_design_scores_gemma":[0.0004851905,0.01761463,0.9724045,0.00008587202,0.000143904,0.0004330166,0.004358519,0.0006963422,0.0007836992,0.00006568326,0.002898255,0.00003044461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975075,0.0002030915,0.00008788944,0.0002921549,0.000005938314,0.0001484596,0.0001678689,0.000006335648,0.00158064],"genre_scores_gemma":[0.9985727,0.0001625179,0.0004037188,0.00009364524,0.000008855264,0.00007987444,0.0001222359,0.000003098144,0.000553428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1386953,"threshold_uncertainty_score":0.275776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583933674172096,"score_gpt":0.3009873511955794,"score_spread":0.2851480144538585,"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."}}