{"id":"W1815534584","doi":"10.2139/ssrn.263534","title":"Best Foot Forward or Best for Last in a Sequential Auction?","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Foot (prosody); Computer science; Economics; Art; Literature","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":[],"consensus_categories":[],"category_scores_codex":[0.004601038,0.0001425837,0.0002241576,0.0003439857,0.0005180124,0.0001919354,0.0005811613,0.00009256368,0.0004199667],"category_scores_gemma":[0.0006253808,0.0001034918,0.0001813306,0.0009316008,0.000088143,0.0004449408,0.00004056185,0.0008496583,0.0004368062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004981148,"about_ca_system_score_gemma":0.001353439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000269243,"about_ca_topic_score_gemma":0.005059205,"domain_scores_codex":[0.9969614,0.0001325621,0.0006541755,0.0003392066,0.0005141592,0.001398462],"domain_scores_gemma":[0.9987569,0.0003212363,0.000285981,0.0002760553,0.0002446787,0.0001150936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001053966,0.0006075816,0.00408227,0.000002948401,0.0001028668,0.00000967566,0.0003643527,0.001724488,0.0006630881,0.7930426,0.001737771,0.1966084],"study_design_scores_gemma":[0.001033873,0.0005115774,0.0001208685,0.0000108865,0.00002378443,0.001366493,0.00609316,0.000402612,0.0001384549,0.88323,0.106913,0.0001552529],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3785367,0.0003911793,0.6135896,0.004007559,0.0006109094,0.0004775057,0.00001266193,0.00003342742,0.002340431],"genre_scores_gemma":[0.9684846,0.0009020023,0.000382187,0.0001044359,0.0008027428,0.00007208782,0.000003016517,0.00001882805,0.02923007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6132075,"threshold_uncertainty_score":0.5614405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07544706377585676,"score_gpt":0.3949781579698313,"score_spread":0.3195310941939746,"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."}}