{"id":"W2263375012","doi":"10.1155/2016/1241862","title":"Near-Infrared Spectroscopic Screening for Bladder Disease in Africa: Training Rural Clinic Staff to Collect Data of Diagnostic Quality","year":2016,"lang":"en","type":"article","venue":"Journal of Spectroscopy","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia","funders":"Mbarara University of Science and Technology; Grand Challenges Canada","keywords":"Medicine; Data collection; Protocol (science); Quality (philosophy); Upload; Orientation (vector space); Medical physics; Family medicine; Physical therapy; Medical education; Alternative medicine; Pathology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.004325265,0.0004213485,0.0002112487,0.0004112724,0.001437992,0.0006666903,0.0008071901,0.0006073467,0.002938599],"category_scores_gemma":[0.008033662,0.0003067197,0.0001618495,0.0003058821,0.0006343389,0.0005582032,0.001971537,0.0005091842,0.0004285249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008898384,"about_ca_system_score_gemma":0.002887943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003077746,"about_ca_topic_score_gemma":0.006188894,"domain_scores_codex":[0.9965528,0.002359211,0.0001191869,0.0001956742,0.0002161125,0.000557089],"domain_scores_gemma":[0.9962808,0.0008702034,0.0008261572,0.0002323985,0.0005319574,0.001258415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002405229,0.008123511,0.6058276,0.001765301,0.00005581383,0.003105018,0.03122446,0.0007025782,0.03038852,0.0003074223,0.003814229,0.3122804],"study_design_scores_gemma":[0.0008666929,0.03336511,0.8797117,0.001260786,0.0001190672,0.006831295,0.04512066,0.001739236,0.008883386,0.0006064975,0.02135954,0.0001359624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995384,0.0003515573,0.001246347,0.000720965,0.00002218751,0.0006362463,0.00004896445,0.00002699284,0.001562752],"genre_scores_gemma":[0.9841828,0.0005376455,0.01325251,0.0006183892,0.00003918573,0.000586027,0.00006812756,0.00001187619,0.0007034625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004325265,"threshold_uncertainty_score":0.02287447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08836945405797135,"score_gpt":0.4145142243767516,"score_spread":0.3261447703187803,"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."}}