{"id":"W2741049680","doi":"10.2196/mhealth.7232","title":"Smartphone-Based Endoscope System for Advanced Point-of-Care Diagnostics: Feasibility Study","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Gastrointestinal Bleeding Diagnosis and Treatment","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endoscope; Medical physics; Medicine; Computer science; Point of care; Surgery; Medical emergency; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009092487,0.000431151,0.0003057728,0.0003743339,0.0002110472,0.0003285266,0.0004081003,0.0007475438,0.002448651],"category_scores_gemma":[0.001246085,0.0001316702,0.0003567356,0.0001391454,0.0002272179,0.0008280672,0.0004229776,0.000217617,0.0005978502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741595,"about_ca_system_score_gemma":0.0004658703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007711463,"about_ca_topic_score_gemma":0.0008003855,"domain_scores_codex":[0.9994864,0.0001740091,0.00004736084,0.00007226344,0.0001511164,0.00006882214],"domain_scores_gemma":[0.9991711,0.0001585234,0.00005652659,0.00005444986,0.0004614384,0.00009790661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004160994,0.005112095,0.1902185,0.00371155,0.0002924763,0.009112434,0.001883873,0.001831283,0.5333573,0.001475212,0.006314916,0.2425294],"study_design_scores_gemma":[0.001385554,0.1273005,0.4834272,0.0005694911,0.001317417,0.04136301,0.005342341,0.05002175,0.2479281,0.0006436161,0.04033447,0.0003665466],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709151,0.001345316,0.0238553,0.0004305895,0.00009912699,0.001056507,0.0002093615,0.000161268,0.001927602],"genre_scores_gemma":[0.9689518,0.001179692,0.02720983,0.0002666533,0.00008004198,0.0005291674,0.0003588085,0.00001156564,0.001412394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002448651,"threshold_uncertainty_score":0.008191526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07435357643754147,"score_gpt":0.4138820435865536,"score_spread":0.3395284671490121,"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."}}