{"id":"W2593140113","doi":"","title":"AUCTION SALE OF ANCIENT ARTIFACT ALARMS FIRST NATIONS","year":2007,"lang":"en","type":"article","venue":"The Midden","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Artifact (error); Computer security; Computer science; Business; History; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007547012,0.000203986,0.0002084961,0.001230268,0.003054837,0.002988262,0.0004443132,0.0007301602,0.02099382],"category_scores_gemma":[0.002988216,0.000154849,0.0002494156,0.001145864,0.001145666,0.001498923,0.0008097964,0.0009794766,0.00146426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015523,"about_ca_system_score_gemma":0.0005414152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007596024,"about_ca_topic_score_gemma":0.02913553,"domain_scores_codex":[0.9996308,0.00008909614,0.00002049063,0.00005857216,0.0001381473,0.0000628749],"domain_scores_gemma":[0.9988236,0.000469886,0.000132778,0.0002556125,0.0002195326,0.00009856534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003426578,0.0004408188,0.03636501,0.0004635499,0.0001081801,0.007508803,0.0403122,0.00139585,0.006908138,0.5313486,0.07000316,0.3017191],"study_design_scores_gemma":[0.0001064781,0.0006349298,0.1118649,0.0004079056,0.00011928,0.003710184,0.02979746,0.00419261,0.008503246,0.03079728,0.8097453,0.0001203926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6301664,0.0008762834,0.00125409,0.001330173,0.0003063079,0.00003620263,0.0002624732,0.00009972043,0.3656684],"genre_scores_gemma":[0.8785798,0.0002882076,0.00123536,0.0001819031,0.00007669074,0.000005832451,0.0001669526,0.00006142641,0.1194038],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.992404,"threshold_uncertainty_score":0.07023138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03164448650305494,"score_gpt":0.2431163259420582,"score_spread":0.2114718394390033,"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."}}