{"id":"W4285530742","doi":"10.2139/ssrn.3841485","title":"Reconsidering Repositioning Incentives: An Empirical Legal Analysis of Market Protection for New Therapeutic Indications","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Incentive; Business; Law and economics; Economics; Public economics; Actuarial science; Microeconomics","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":[0.02015062,0.000807544,0.003251567,0.002635268,0.002285696,0.009646107,0.004925349,0.008729929,0.03245941],"category_scores_gemma":[0.1279049,0.0008591556,0.002845206,0.002369891,0.008202246,0.009945918,0.003233256,0.009842757,0.001448941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004643421,"about_ca_system_score_gemma":0.006185954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01721074,"about_ca_topic_score_gemma":0.01309055,"domain_scores_codex":[0.991639,0.003106179,0.0006724244,0.001266419,0.00166366,0.001652427],"domain_scores_gemma":[0.6969197,0.2362598,0.049582,0.008907177,0.005027732,0.00330369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002206204,0.002406251,0.09775867,0.0008677196,0.0009156847,0.002000029,0.002114813,0.04841879,0.002378104,0.7758709,0.01538736,0.04967546],"study_design_scores_gemma":[0.001432147,0.001893413,0.1424948,0.0006896929,0.002119438,0.0007587752,0.005620508,0.1797131,0.002845842,0.6348532,0.02722808,0.0003509991],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8858461,0.005893498,0.01823927,0.0259124,0.0002262564,0.0003979134,0.00163542,0.0001701823,0.06167892],"genre_scores_gemma":[0.993517,0.0005121847,0.0008499913,0.0006430359,0.0001819601,0.00002881516,0.0001870993,0.00003182298,0.00404804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03245941,"threshold_uncertainty_score":0.1085876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013270804521322,"score_gpt":0.3286953274778326,"score_spread":0.2273682470257004,"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."}}