{"id":"W3033687227","doi":"","title":"IDENTIFYING LIABILITY OF FOREIGNNESS USING EBAY AUCTION RESULTS","year":2005,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liability; Business; Commerce; Advertising; Internet privacy; Computer science; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009272882,0.000232629,0.0007040369,0.0009649888,0.0005564204,0.001158516,0.003451039,0.0001267335,0.006729914],"category_scores_gemma":[0.002971826,0.0001944551,0.0003538398,0.002520972,0.0003279143,0.004924957,0.000824156,0.0003156946,0.0000555845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273421,"about_ca_system_score_gemma":0.0001420795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002157073,"about_ca_topic_score_gemma":0.00003981945,"domain_scores_codex":[0.9946203,0.0006223791,0.002262584,0.0006719771,0.001521156,0.0003015826],"domain_scores_gemma":[0.9937421,0.00133163,0.002507548,0.00107867,0.001126062,0.0002139678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001627046,0.001481034,0.1336704,0.0001072402,0.0003232917,0.000006354706,0.002343269,0.05262068,0.4717926,0.009044183,0.03339244,0.2935914],"study_design_scores_gemma":[0.0009491004,0.00001139472,0.2686994,0.0002687137,0.0001166551,0.00002869194,0.001286161,0.002502718,0.2857892,0.4183498,0.02146699,0.0005311972],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263425,0.001202354,0.06271698,0.0002820868,0.0006006945,0.0004813986,0.00008714883,0.00003469137,0.008252122],"genre_scores_gemma":[0.9966654,0.0003209536,0.001841661,0.00007960138,0.000298401,0.00001888392,0.000005163361,0.00002165176,0.0007482567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4093056,"threshold_uncertainty_score":0.9998784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6582465723840153,"score_gpt":0.6728497770388048,"score_spread":0.01460320465478948,"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."}}