{"id":"W4252543614","doi":"10.1515/9783839452219-038","title":"Anhang 07: Auswertung der Fallstudie Ottawa Tool Library","year":2020,"lang":"de","type":"book-chapter","venue":"transcript Verlag eBooks","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Political science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004999914,0.001085459,0.001054783,0.009142266,0.006592107,0.01775002,0.002354044,0.002352314,0.2817209],"category_scores_gemma":[0.009976597,0.001271693,0.0004717665,0.02154635,0.001875156,0.00508819,0.004148081,0.001739516,0.1239303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02654906,"about_ca_system_score_gemma":0.03827659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6897299,"about_ca_topic_score_gemma":0.7230996,"domain_scores_codex":[0.9934549,0.0008230607,0.0004854859,0.0006010872,0.003583426,0.001052117],"domain_scores_gemma":[0.9896044,0.002283691,0.0003669948,0.001037968,0.005431911,0.001275043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001471008,0.00004174088,0.002701902,0.0003173462,0.000008768275,0.00006741261,0.002418814,0.0002153372,0.0003084834,0.005360238,0.846373,0.1420399],"study_design_scores_gemma":[0.00001341023,0.0000209312,0.009207943,0.0002865725,0.00001567689,0.00004152564,0.003391736,0.0002132776,0.000595962,0.001229773,0.9849374,0.0000458968],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01834008,0.00734485,0.004247184,0.007291745,0.001777207,0.0007939251,0.1472752,0.01002641,0.8029034],"genre_scores_gemma":[0.04276306,0.003994341,0.007300717,0.000808017,0.000156116,0.0005350296,0.04357958,0.003613264,0.8972499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3102701,"threshold_uncertainty_score":0.9424503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03584319833543661,"score_gpt":0.1933810237726254,"score_spread":0.1575378254371888,"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."}}