{"id":"W4365397077","doi":"10.5771/9783748913641","title":"Settingbezogene Gesundheitsförderung und Prävention in der digitalen Transformation","year":2023,"lang":"en","type":"book","venue":"Nomos Verlagsgesellschaft mbH & Co. KG eBooks","topic":"Health and Medical Studies","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundeszentrale für gesundheitliche Aufklärung; Canadian Bureau for International Education; Association for Psychological Science; Univation Technologies; McGill University; Society of Clinical Child and Adolescent Psychology; Bundesministerium für Bildung und Forschung; World Health Organization","keywords":"Context (archaeology); Politics; Art history; Sociology; Art; Humanities; Media studies; Library science; Political science; History; Computer science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.002297504,0.0008906808,0.001446698,0.0006622371,0.001128701,0.00004142392,0.0005432177,0.001998761,0.0004523737],"category_scores_gemma":[0.0004404497,0.0008608595,0.0003693624,0.0002224814,0.0001952916,0.0002157082,0.0002181565,0.003467805,0.00635937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481053,"about_ca_system_score_gemma":0.00316483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002920073,"about_ca_topic_score_gemma":0.00215462,"domain_scores_codex":[0.9925841,0.0006126259,0.002399623,0.001009652,0.001277552,0.002116456],"domain_scores_gemma":[0.9960451,0.001351195,0.0008100695,0.0007050241,0.0003290483,0.0007595657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00102649,0.0005135505,0.004679469,0.03166197,0.001675179,0.0006090098,0.05969277,0.00003558698,0.0001648524,0.01455421,0.6190696,0.2663173],"study_design_scores_gemma":[0.002903577,0.0002355922,0.002616993,0.004344031,0.0002105514,0.000004238793,0.001029157,0.0001126347,0.00003560725,0.00349303,0.9840794,0.0009351379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004648013,0.002238323,0.0003513051,0.001469589,0.002588819,0.006049881,0.0004913133,0.0008029251,0.9813598],"genre_scores_gemma":[0.01121992,0.001444163,0.00007101063,0.002243288,0.001877348,0.001168414,0.001365599,0.0003322904,0.980278],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3650098,"threshold_uncertainty_score":0.9993842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09099952825283822,"score_gpt":0.4534592707031946,"score_spread":0.3624597424503564,"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."}}