{"id":"W6908498201","doi":"10.3205/22gmds104","title":"Entwicklung eines regelbasierten Algorithmus und einer Applikation zur Entscheidungsunterstützung bei der Kontrollselektion für Fall-Kontroll-Studien in großen Datenbeständen","year":2022,"lang":"de","type":"article","venue":"German Medical Science (German Research Foundation)","topic":"Medical Practices and Rehabilitation","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Risk communication; Quality (philosophy); MEDLINE","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","sts","insufficient_payload"],"category_scores_codex":[0.04810476,0.0006336079,0.00102259,0.002204154,0.008410184,0.0004757354,0.002958243,0.0006047951,0.00794714],"category_scores_gemma":[0.01560399,0.0005614861,0.0002369824,0.006516822,0.003423785,0.002916986,0.003019623,0.006851273,0.002851418],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004245974,"about_ca_system_score_gemma":0.005817858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004694043,"about_ca_topic_score_gemma":0.002100488,"domain_scores_codex":[0.9686381,0.008546077,0.002720055,0.002274988,0.01432993,0.003490827],"domain_scores_gemma":[0.9880495,0.005836812,0.0009885605,0.001321152,0.001655896,0.002148056],"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":[0.003535726,0.008966859,0.08014577,0.003077482,0.001534196,0.001330705,0.08984637,0.0007438508,0.00414429,0.047712,0.0466822,0.7122806],"study_design_scores_gemma":[0.01233416,0.001624441,0.1727048,0.001128405,0.0004850912,0.00003083337,0.01148598,0.2166039,0.00002207015,0.007386989,0.5746883,0.00150498],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8055593,0.006288668,0.003921121,0.1548128,0.01150097,0.01104696,0.0001034991,0.0003056729,0.006461074],"genre_scores_gemma":[0.9843736,0.001914197,0.0005387978,0.002882737,0.003317893,0.002078443,0.0008607556,0.0001019344,0.003931687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7107756,"threshold_uncertainty_score":0.9998182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08462207441197106,"score_gpt":0.5297441565713837,"score_spread":0.4451220821594127,"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."}}