{"id":"W4234531168","doi":"10.33423/jabe.v22i7.3257","title":"Probabilistic Scenarios for Private Health Care Entities: Analysis of Medical and Administrative Management","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Normative; Simple (philosophy); Probabilistic logic; Delphi method; Computer science; Convergence (economics); Health care; Health sector; Management science; Operations research; Risk analysis (engineering); Business; Economics; Mathematics; Artificial intelligence; Health services; Sociology; Political science; Epistemology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002539371,0.0001151878,0.0004674042,0.0002094014,0.00007302623,0.000113901,0.0001573606,0.00003861807,0.00005053342],"category_scores_gemma":[0.0000390557,0.000100968,0.00007630181,0.0002999945,0.00008218086,0.0001865229,0.0001215942,0.00006963998,0.000001144094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002487844,"about_ca_system_score_gemma":0.00006703145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001508108,"about_ca_topic_score_gemma":0.0001018709,"domain_scores_codex":[0.999087,0.000002394712,0.0005245825,0.0001625966,0.0001007489,0.0001227008],"domain_scores_gemma":[0.999072,0.00004799552,0.0005559427,0.0000621487,0.0002206507,0.00004129651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001661689,0.0003134105,0.007251417,0.01092742,0.003133892,0.00002447733,0.00458704,0.006051044,0.00002408597,0.8497579,0.0008328299,0.1154348],"study_design_scores_gemma":[0.01087311,0.0008692609,0.1127696,0.001746015,0.009074605,0.00003082505,0.07512178,0.2247181,0.0002451772,0.03796949,0.5241653,0.002416618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858447,0.0006053781,0.006534941,0.004041489,0.0001550904,0.0004160654,0.00001830747,0.000008384827,0.002375664],"genre_scores_gemma":[0.9972506,0.0007765585,0.000559966,0.001033032,0.000346856,0.000007089744,0.00001219011,0.000009357387,0.000004311685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8117884,"threshold_uncertainty_score":0.4117355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03318070437570552,"score_gpt":0.2669565979585923,"score_spread":0.2337758935828868,"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."}}