{"id":"W6902309429","doi":"10.6084/m9.figshare.26626006","title":"Additional file 5 of “The measures taken by the government overburdened the daily practice” – insights of the PRICOV-19 study on German general practitioners in times of COVID-19","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); German; German government; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003259808,0.0007701423,0.001024811,0.003492699,0.001132554,0.002111198,0.001560605,0.001250896,0.8733894],"category_scores_gemma":[0.06997205,0.0005328259,0.001038852,0.007756501,0.0003752802,0.003546785,0.001820677,0.001108794,0.1908242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002268834,"about_ca_system_score_gemma":0.003000987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02565165,"about_ca_topic_score_gemma":0.02947403,"domain_scores_codex":[0.9974113,0.0009266607,0.0005683541,0.0002652554,0.0005107624,0.0003176747],"domain_scores_gemma":[0.9464728,0.03744341,0.004881288,0.001978403,0.008127201,0.001096927],"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":[0.0002147169,0.00004104871,0.001666553,0.001637262,0.0000210974,0.00001644786,0.000115864,0.00009285559,0.000006651407,0.0008790704,0.9907607,0.004547779],"study_design_scores_gemma":[0.003675391,0.0002519567,0.06267302,0.009840023,0.0001733104,0.0002150965,0.002732872,0.0005013209,0.0001884984,0.008967136,0.9106378,0.0001435279],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003093629,0.00004149129,0.0001049642,0.0003717504,0.00004663768,0.0001819228,0.9944877,0.00008840247,0.004367772],"genre_scores_gemma":[0.01761894,0.0004655166,0.002225492,0.001770031,0.0002795521,0.006874967,0.9265487,0.0006401357,0.04357654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8733894,"threshold_uncertainty_score":0.1805946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06854977971101131,"score_gpt":0.3746569534734978,"score_spread":0.3061071737624865,"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."}}