{"id":"W6946187793","doi":"10.3205/18rwa055","title":"Pilotprojekt Q-VERA: Qualitäts-Versorgung bei AMD – ein innovatives Versorgungskonzept bei AMD der KVWL und des AMD-Netz","year":2018,"lang":"de","type":"article","venue":"German Medical Science (German Research Foundation)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Macular degeneration; MEDLINE; Risk factor; Continuous glucose monitoring","routes":{"ca_aff":true,"ca_fund":false,"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":[0.03138523,0.0007564137,0.0007923922,0.001047729,0.000700081,0.002281695,0.00112821,0.001532696,0.02713709],"category_scores_gemma":[0.04986606,0.0004154964,0.001856238,0.000980337,0.0009893596,0.001878707,0.002067934,0.00193436,0.005531087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291798,"about_ca_system_score_gemma":0.006642217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002498524,"about_ca_topic_score_gemma":0.001946712,"domain_scores_codex":[0.9912072,0.006411266,0.000710075,0.0003508048,0.0009156729,0.0004050845],"domain_scores_gemma":[0.9337923,0.04186814,0.003340067,0.004336383,0.01119865,0.005464467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.05916647,0.01231109,0.02376809,0.01331177,0.001765962,0.0004214338,0.002537286,0.004485136,0.0124028,0.006851708,0.2166348,0.6463435],"study_design_scores_gemma":[0.08671129,0.1336736,0.1636199,0.009191968,0.005842792,0.001313361,0.002785433,0.01829526,0.04058826,0.02764133,0.5095431,0.0007937044],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5091418,0.01328592,0.1346,0.06461123,0.0112154,0.1025707,0.1009691,0.01184582,0.05175992],"genre_scores_gemma":[0.5399287,0.005921552,0.2571476,0.01674989,0.002470347,0.1034057,0.03850173,0.002519381,0.03335504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03138523,"threshold_uncertainty_score":0.165983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2303111085609904,"score_gpt":0.5294389515125691,"score_spread":0.2991278429515787,"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."}}