{"id":"W6925422041","doi":"10.18549/pharmpract.2024.1.2889","title":"Trends in Scientific Production on Pharmaceutical Follow-up andthe Dader Method","year":2024,"lang":"en","type":"article","venue":"Repository of Digital Objects for Teaching Research and Culture (University of Valencia)","topic":"Fluid dynamics and aerodynamics studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bibliometrics; Scopus; Pharmacy; Portuguese; Production (economics); Service (business); Scientific literature; Sociology of scientific knowledge","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005707187,0.00009627194,0.0001632242,0.0004022663,0.0002998021,0.00009449668,0.0001213156,0.0000641656,9.156451e-7],"category_scores_gemma":[0.00005890398,0.00009311958,0.00009062488,0.0003380248,0.0002406534,0.0003250195,0.00005544632,0.000355279,5.566566e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008747422,"about_ca_system_score_gemma":0.00002121331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001244848,"about_ca_topic_score_gemma":0.00005538306,"domain_scores_codex":[0.999062,0.00003886288,0.0001007742,0.0002809559,0.0002990271,0.0002183495],"domain_scores_gemma":[0.9996164,0.00009910531,0.00001483192,0.0001163146,0.00009359053,0.00005975291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007927393,0.0009876309,0.003022597,0.006003047,0.001063658,0.0001702574,0.08838098,0.006212716,0.5652346,0.02015423,0.02166118,0.2863163],"study_design_scores_gemma":[0.004407038,0.003985284,0.01103097,0.003961527,0.0003154325,0.0001524822,0.05868601,0.8492295,0.02631012,0.01235364,0.02786616,0.001701856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880559,0.001224161,0.001121929,0.0001251504,0.0004535741,0.0001780595,0.00004973103,0.00006987479,0.008721569],"genre_scores_gemma":[0.9900588,0.00004964992,0.000551403,4.565939e-7,0.00003916066,8.236786e-7,0.00001641067,0.00001099897,0.009272256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8430167,"threshold_uncertainty_score":0.3797306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0366944527521329,"score_gpt":0.3188529004203001,"score_spread":0.2821584476681672,"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."}}