{"id":"W4405292328","doi":"10.2139/ssrn.5022683","title":"Geographic Segment Disclosures and Proprietary Costs","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Property Rights and Legal Doctrine","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Accounting","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":[0.002869777,0.000180142,0.0003449951,0.002566104,0.00131502,0.005626342,0.0008213452,0.002072782,0.02468607],"category_scores_gemma":[0.05588596,0.0002312821,0.0002776135,0.004558222,0.001845497,0.00614723,0.001691144,0.001675065,0.0008618605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002332676,"about_ca_system_score_gemma":0.001978896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00619291,"about_ca_topic_score_gemma":0.008037608,"domain_scores_codex":[0.996869,0.0009263275,0.0003014386,0.0002843338,0.001062197,0.0005566757],"domain_scores_gemma":[0.9062458,0.06268734,0.0223695,0.003425284,0.004016179,0.001255831],"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":[0.0003575739,0.0002133426,0.1367735,0.0001572609,0.0001203934,0.0006574626,0.002875522,0.004508333,0.0004374081,0.7767077,0.01400662,0.06318496],"study_design_scores_gemma":[0.0001269046,0.0001701074,0.1734289,0.000400812,0.0003876983,0.001223889,0.008717183,0.01152558,0.00195552,0.7489688,0.05299206,0.0001024559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7047071,0.003524827,0.005685477,0.01253736,0.00009958558,0.00008237013,0.00171654,0.00006800842,0.2715788],"genre_scores_gemma":[0.9882747,0.0006571977,0.0003737108,0.0002192516,0.00009779435,0.00001458769,0.0001916655,0.00001072227,0.01016042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02468607,"threshold_uncertainty_score":0.08258313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008905398448310892,"score_gpt":0.2659573945841178,"score_spread":0.2570519961358069,"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."}}