{"id":"W6926380369","doi":"10.24406/publica-fhg-289818","title":"Telearbeit für Behinderte - Teleworking for disabled people (TEDIS)","year":2022,"lang":"de","type":"article","venue":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disabled people; First world war; Cold war; Quarter (Canadian coin)","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":[0.003850713,0.0007697435,0.0006579605,0.001682568,0.001642553,0.002194856,0.0008821485,0.001121273,0.02816184],"category_scores_gemma":[0.003346501,0.000207472,0.0004504528,0.001281179,0.0008953511,0.00148392,0.006564526,0.001392357,0.01120757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001799279,"about_ca_system_score_gemma":0.006623417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003651619,"about_ca_topic_score_gemma":0.002521856,"domain_scores_codex":[0.9980546,0.0005432643,0.00009063492,0.0002408616,0.0004342816,0.0006363231],"domain_scores_gemma":[0.9968193,0.0004795449,0.0001983259,0.0003006082,0.0004878406,0.001714475],"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":[0.00107581,0.0004355345,0.01178765,0.000761405,0.00004185621,0.0005148562,0.003748276,0.0009899876,0.005590116,0.03432575,0.09907947,0.8416493],"study_design_scores_gemma":[0.000482516,0.001136237,0.03617909,0.0006915205,0.000056918,0.001635297,0.003478656,0.001336972,0.01192594,0.008269856,0.9347252,0.0000818318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.443272,0.03499284,0.0740054,0.02734842,0.004818313,0.00318045,0.03199041,0.007305639,0.3730866],"genre_scores_gemma":[0.6756544,0.01617223,0.06024235,0.001777276,0.0006939031,0.003387616,0.02397413,0.001190716,0.2169075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02816184,"threshold_uncertainty_score":0.0942108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02174711421886375,"score_gpt":0.286653957261877,"score_spread":0.2649068430430132,"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."}}