{"id":"W6910356526","doi":"10.48448/rrw8-eh86","title":"Pennsylvania Rural Health Model: Early Impacts on Potentially Avoidable Hospitalizations","year":2023,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Incentive; Payment; Agency (philosophy); Quarter (Canadian coin); Ambulatory; Population; Rural area; Ambulatory care; Natural experiment","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":[0.007105651,0.0003150982,0.0004623646,0.0004423937,0.0005851506,0.001373278,0.001664251,0.0006432664,0.01402979],"category_scores_gemma":[0.02401592,0.0002577652,0.0008774227,0.0007564599,0.0005739559,0.001189512,0.001866403,0.001418253,0.0007225289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002337417,"about_ca_system_score_gemma":0.002577454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02480023,"about_ca_topic_score_gemma":0.01838923,"domain_scores_codex":[0.9896338,0.007903784,0.0001356517,0.000961763,0.000692263,0.0006726804],"domain_scores_gemma":[0.9800142,0.01301764,0.003308196,0.001273773,0.001099644,0.00128648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006188643,0.002777675,0.644227,0.0004695205,0.001136023,0.0005250878,0.0006840205,0.1205479,0.0005095119,0.0505984,0.06067349,0.1116628],"study_design_scores_gemma":[0.002109883,0.00952162,0.4316841,0.0003384523,0.0008601854,0.0004162323,0.002043757,0.4569415,0.001468409,0.04391442,0.0505159,0.000185532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283457,0.0004244014,0.0294602,0.009449906,0.0002402062,0.0007811387,0.007948979,0.0003443026,0.02300512],"genre_scores_gemma":[0.9881076,0.00008669221,0.006020351,0.000787388,0.00006401361,0.0003922285,0.001405407,0.00003293768,0.003103409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02480023,"threshold_uncertainty_score":0.04931176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02253582689278882,"score_gpt":0.3144953258588263,"score_spread":0.2919594989660375,"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."}}