{"id":"W4415341523","doi":"10.51594/imsrj.v5i8.2073","title":"Pharmaceutical market analytics for therapeutic equity: Data-Driven models for expanding access to essential medicines","year":2025,"lang":"","type":"article","venue":"International Medical Science Research Journal","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child, Adolescent and Family Mental Health","funders":"","keywords":"Analytics; Transparency (behavior); Essential medicines; Predictive analytics; Equity (law); Big data; Corporate governance; Pharmaceutical industry; Personalized medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007681223,0.001041097,0.001072572,0.00168195,0.000898422,0.005409406,0.002098463,0.002968885,0.008589358],"category_scores_gemma":[0.02789574,0.0006689169,0.001533439,0.0016327,0.002407897,0.005603651,0.003197161,0.004133218,0.0006937707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004470808,"about_ca_system_score_gemma":0.003884377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01280649,"about_ca_topic_score_gemma":0.009712717,"domain_scores_codex":[0.9969395,0.001710629,0.000111443,0.0004545547,0.0004543352,0.000329468],"domain_scores_gemma":[0.9802537,0.01572115,0.001453909,0.0006374192,0.001330016,0.0006037833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009593873,0.0001335964,0.004708669,0.0001132998,0.00006354724,0.0001601334,0.0003295123,0.4685749,0.000206749,0.5007785,0.004364773,0.02047036],"study_design_scores_gemma":[0.00001397056,0.00002455976,0.0003622577,0.00004429189,0.00001540659,0.00003107758,0.00007638449,0.802807,0.00006099324,0.1935328,0.003016177,0.00001501048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07189121,0.002961867,0.8417843,0.0316241,0.0005329563,0.0003758473,0.002011128,0.0004962098,0.04832241],"genre_scores_gemma":[0.9058021,0.002287828,0.07634623,0.001508263,0.0004345118,0.0003924925,0.0007518402,0.0001345731,0.0123421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01280649,"threshold_uncertainty_score":0.04062265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.509892727248921,"score_gpt":0.6056956383928648,"score_spread":0.09580291114394379,"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."}}