{"id":"W3160125296","doi":"10.3886/e137242v1","title":"Data and Code for: Secured Transactions Laws and Economic Development on American Indian Reservations","year":2021,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Corporate Insolvency and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Code (set theory); Computer security; Computer science; Law; Uniform Commercial Code; Law and economics; Business; Political science; Economics; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004119861,0.0003050634,0.0003761313,0.0001891644,0.0004061839,0.0006780546,0.00133974,0.0001146753,0.0000793592],"category_scores_gemma":[0.0001519425,0.0003314478,0.00002227647,0.0002267555,0.0001356392,0.001780897,0.0008488705,0.0002829501,0.000036134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000501877,"about_ca_system_score_gemma":0.0001710688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002515968,"about_ca_topic_score_gemma":0.0791378,"domain_scores_codex":[0.9981017,0.000008119625,0.0003902733,0.001050435,0.0001705804,0.0002788982],"domain_scores_gemma":[0.9972212,0.0001184463,0.0005511695,0.00202976,0.00004931625,0.00003008373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002303838,0.0000625825,0.0001174296,0.0002560011,0.00007158666,0.00001126212,0.00001801672,0.000003140536,0.000002057453,0.00009312554,0.9937853,0.005556525],"study_design_scores_gemma":[0.0003977349,0.000009401661,0.001509863,0.0001900074,0.000125595,0.000003996968,0.0001098165,0.0004852939,0.000002971582,0.00009633332,0.9966782,0.000390772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005414157,0.0002556067,0.0001509372,0.00122841,0.0003476101,0.000349624,0.9921939,0.00003389035,0.00002581174],"genre_scores_gemma":[0.0009668595,0.0009546023,0.0007673051,0.001403123,0.0005180232,0.00004906972,0.9952338,0.00003199165,0.0000751991],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07662183,"threshold_uncertainty_score":0.9999138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08729340986671548,"score_gpt":0.2880147124406864,"score_spread":0.200721302573971,"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."}}