{"id":"W7084413460","doi":"10.25358/openscience-13433","title":"Approaches towards averting a potential structural shortage of general practitioners : results of a quantitative survey on attitudes, experiences, and ideas from general practitioners in the Federal Republic of Germany","year":2025,"lang":"en","type":"article","venue":"Universitätsbibliothek Johannes Gutenberg Universität Mainz","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economic shortage; Government (linguistics); German Federal Republic; 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":[0.006007327,0.0001730408,0.0002615713,0.0007615432,0.001804479,0.001480687,0.0006127782,0.001137195,0.001603568],"category_scores_gemma":[0.01333585,0.000317264,0.0002374726,0.0007674965,0.001570272,0.0009187309,0.001872531,0.001312568,0.0001647612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002593877,"about_ca_system_score_gemma":0.003546642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01588716,"about_ca_topic_score_gemma":0.02665964,"domain_scores_codex":[0.9958668,0.002335193,0.00020873,0.000174863,0.0005443828,0.0008700027],"domain_scores_gemma":[0.9885802,0.004985895,0.00246804,0.0001957502,0.0008627652,0.002907362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002229255,0.000535153,0.5115399,0.0003858462,0.00006217344,0.001007275,0.4587536,0.0001230976,0.002340963,0.0005703323,0.001500096,0.02295864],"study_design_scores_gemma":[0.00002578998,0.0004725211,0.5199213,0.0001817315,0.00001977958,0.0003379943,0.4735059,0.0001354816,0.0001699646,0.00009080758,0.005116739,0.00002199709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981784,0.0002380443,0.00003948532,0.0007662521,0.00001017455,0.00001987889,0.00002110655,0.000001409281,0.0007252447],"genre_scores_gemma":[0.9988742,0.0002284255,0.0001222682,0.0004007455,0.00000666553,0.0000176908,0.00001665171,0.000001286841,0.0003319628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01588716,"threshold_uncertainty_score":0.03177017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06636021385869639,"score_gpt":0.3218667494358018,"score_spread":0.2555065355771054,"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."}}