{"id":"W2378371705","doi":"","title":"ANALYSIS OF THE SEASONAL VARIATION TREND OF OUTPATIENTS FROM 2001 TO 2009","year":2011,"lang":"en","type":"article","venue":"Xiandai yufang yixue","topic":"Pharmacy and Medical Practices","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staffing; Quarter (Canadian coin); Seasonality; Outpatient visits; Medicine; Demography; Outpatient clinic; Statistical analysis; Geography; Statistics; Mathematics; Internal medicine; Nursing; Health care; Economics","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":[0.0003534492,0.0001426314,0.0001707094,0.001413468,0.0001715028,0.0002779263,0.0002559825,0.0001295652,0.001346581],"category_scores_gemma":[0.001260117,0.0001115131,0.0003866888,0.002238557,0.00006126824,0.0002302273,0.0002555935,0.0002595039,0.0002129472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000595314,"about_ca_system_score_gemma":0.00053442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02276843,"about_ca_topic_score_gemma":0.03218776,"domain_scores_codex":[0.9996998,0.00002847047,0.00006639498,0.00008663271,0.00006195731,0.00005678489],"domain_scores_gemma":[0.9992396,0.0000668673,0.0003265415,0.00002543922,0.0002667402,0.00007488484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001295415,0.00002498762,0.9813094,0.0001207203,0.00005319495,0.0000854208,0.0002354936,0.0002076661,0.0004368224,0.00009749027,0.00256966,0.01472971],"study_design_scores_gemma":[0.000003034896,0.00003590154,0.9975097,0.00001603552,0.0000206368,0.00008909807,0.0002014627,0.0005374649,0.0001088163,0.0000177462,0.001456135,0.000004082174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765163,0.0009565438,0.000748178,0.0002880582,0.00004869363,0.00006689853,0.01802524,0.00007077696,0.00327935],"genre_scores_gemma":[0.9829317,0.0005719978,0.0008831953,0.00007318486,0.00004349706,0.0000627121,0.01417911,0.0000201464,0.001234471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02276843,"threshold_uncertainty_score":0.04527181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2119354227582211,"score_gpt":0.4535034964112166,"score_spread":0.2415680736529954,"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."}}