{"id":"W4411873872","doi":"10.2196/65978","title":"Financial Feasibility of Developing Sustained-Release Incrementally Modified Drugs in Thailand’s Pharmaceutical Industry: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Timeline; Activity-based costing; Investment (military); Clinical trial; Business; Pharmaceutical industry; Payback period; Process (computing); Operations management; Finance; Risk analysis (engineering); Actuarial science; Operations research; Computer science; Medicine; Marketing; Economics; Engineering; Pharmacology; Production (economics); Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06651299,0.001390531,0.001072319,0.004631026,0.0009117732,0.003755274,0.001656065,0.001429423,0.004480685],"category_scores_gemma":[0.07423905,0.0009620718,0.004614625,0.003359558,0.0007948269,0.002465336,0.002153321,0.001001548,0.0002983237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008133637,"about_ca_system_score_gemma":0.007847115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005582219,"about_ca_topic_score_gemma":0.006330443,"domain_scores_codex":[0.9452636,0.0435151,0.003662139,0.001897952,0.004476309,0.001185026],"domain_scores_gemma":[0.7804661,0.1855598,0.01891116,0.003013824,0.01095564,0.001093389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01875454,0.01222077,0.3816026,0.04251182,0.01634928,0.004920891,0.01440676,0.09071377,0.005197608,0.01937061,0.003610362,0.3903411],"study_design_scores_gemma":[0.005089556,0.06330709,0.384931,0.01897042,0.02644145,0.004028212,0.05238162,0.3606801,0.02377725,0.02343623,0.0353431,0.001613948],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308316,0.007230363,0.03726507,0.0008523224,0.0000561342,0.01305029,0.00281218,0.00004166911,0.007860338],"genre_scores_gemma":[0.9500166,0.00352344,0.03471922,0.0003648334,0.00004753452,0.009639014,0.0008496552,0.00001534005,0.0008242358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06651299,"threshold_uncertainty_score":0.3517585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1073496113869124,"score_gpt":0.419332029649971,"score_spread":0.3119824182630586,"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."}}