{"id":"W4249256590","doi":"10.4414/saez.2009.14238","title":"Durée ou centenu? / Bananenrepublik / Ärztenetzwerk zur Reduktion der Labortarife und zu Rücktrittsforderungen an BR Couchepin / Le choix de médecins experts [1] / Vom Leiden, Hirn, Hand, Rotwein und Glück / Warum der Patient kein Kunde ist / Offener Brief an die Grundversorgerinnen und Grundversorger / Mögliche Kosteneinsparungen im Gesundheitswesen am Beispiel von Lucentis® / Mit Ritalin, mit Chemie zu schönen neuen Welt? / DRG-Fallpauschalen-Diskussion [1] / Wirtschaftlichkeitsprüfungen / Medizin und Wunder / Wie kommt man zum Nobelpreis?","year":2009,"lang":"de","type":"article","venue":"Schweizerische Ärztezeitung","topic":"Medical and Health Sciences Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.006665349,0.004228338,0.004737848,0.002365137,0.004843933,0.002504738,0.004723159,0.004127895,0.001533507],"category_scores_gemma":[0.002206243,0.003958112,0.001441285,0.004137678,0.002962961,0.005363666,0.00199257,0.005506908,0.00064157],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002831461,"about_ca_system_score_gemma":0.006596702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02907106,"about_ca_topic_score_gemma":0.0277683,"domain_scores_codex":[0.9670202,0.002940441,0.005955551,0.007001545,0.008073971,0.009008309],"domain_scores_gemma":[0.977855,0.0008003446,0.002675675,0.005622975,0.002875437,0.01017059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0273299,0.04019082,0.302641,0.009469743,0.0327929,0.01219701,0.03304955,0.001983328,0.276086,0.004520276,0.1602636,0.09947582],"study_design_scores_gemma":[0.02845039,0.009481233,0.2132239,0.004992847,0.01157779,0.0002954012,0.005176856,0.01661686,0.03910214,0.001303428,0.6607029,0.009076229],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7157936,0.2225227,0.001746449,0.04433155,0.005083085,0.007431479,0.001012526,0.0008422586,0.001236382],"genre_scores_gemma":[0.9240072,0.0301566,0.005305501,0.01251776,0.008226571,0.0009107079,0.008218565,0.001178722,0.009478353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5004393,"threshold_uncertainty_score":0.9997504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03482847852932594,"score_gpt":0.341679210363168,"score_spread":0.306850731833842,"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."}}