{"id":"W1865488765","doi":"","title":"The Efficiency of Droit De Suite: An Experimental Assessment","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Art History and Market Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Suite; Lottery; Work (physics); Economics; Computer science; Positive economics; Law and economics; Microeconomics; Political science; Law; Engineering","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":[0.006016674,0.0006991829,0.001081242,0.000508479,0.0005498619,0.00218207,0.00162153,0.002038571,0.01942642],"category_scores_gemma":[0.0392038,0.0004670853,0.0008707822,0.0004669502,0.001589769,0.003677967,0.001300566,0.002407948,0.001568331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008121596,"about_ca_system_score_gemma":0.0006834776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000765374,"about_ca_topic_score_gemma":0.0006373986,"domain_scores_codex":[0.9974937,0.001194013,0.0002295709,0.0003939591,0.0004807673,0.0002079599],"domain_scores_gemma":[0.9012698,0.08263221,0.00642063,0.007126748,0.001225587,0.001325094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.1436148,0.1828656,0.07964193,0.005182417,0.002532578,0.001419349,0.005085079,0.09448449,0.1403204,0.1774077,0.009638971,0.1578067],"study_design_scores_gemma":[0.02319014,0.1982179,0.1210326,0.0005272664,0.00329872,0.0009320009,0.004663134,0.3826539,0.0527295,0.1866909,0.02531256,0.0007514163],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851571,0.0001754401,0.003139592,0.0002911184,0.00006684953,0.000385697,0.000223392,0.00002917353,0.01053171],"genre_scores_gemma":[0.9911715,0.0001974011,0.003409754,0.0001793908,0.00006479662,0.0006116676,0.0002176815,0.00003409541,0.004113739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01942642,"threshold_uncertainty_score":0.06498778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103770383879682,"score_gpt":0.2581949139620042,"score_spread":0.2471572101232073,"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."}}