{"id":"W7053293973","doi":"","title":"Third Quarter 2010 Foreclosure Filings and Auctions","year":2010,"lang":"en","type":"dataset","venue":"Issue Lab (Candid)","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Quarter (Canadian coin); Common value auction; Scope (computer science); Measure (data warehouse)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001098987,0.0004067619,0.0004380223,0.0001377751,0.0002576392,0.0001394507,0.0004923383,0.001031098,0.02607056],"category_scores_gemma":[0.00004170031,0.0003875276,0.0001231691,0.0001956263,0.0001470421,0.0000716606,0.0001509684,0.001505068,0.0002778331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004692033,"about_ca_system_score_gemma":0.00005422111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001865659,"about_ca_topic_score_gemma":0.001645681,"domain_scores_codex":[0.9983711,0.00001054642,0.0003609921,0.000614157,0.0002491955,0.0003939874],"domain_scores_gemma":[0.9981864,0.00007570521,0.000238966,0.001229837,0.00007515274,0.0001939102],"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":[0.00000720653,0.00007474651,0.00004822615,0.0002117533,0.00004443047,0.000006814741,0.00002081296,5.24685e-8,0.001308,0.0002470101,0.9977915,0.0002393931],"study_design_scores_gemma":[0.000210626,0.00003228049,0.00002009173,0.00006322496,0.0001336929,0.00004960614,0.0000303331,0.0000106704,0.002842527,0.00227623,0.993903,0.0004276634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00033399,0.0002821409,0.00001836905,0.002371801,0.0002117833,0.0002076565,0.9828618,0.0002722345,0.01344021],"genre_scores_gemma":[0.0004516294,0.0008944515,0.001322397,0.000200991,0.001550209,0.0003215516,0.9773241,0.00005248846,0.01788218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02579273,"threshold_uncertainty_score":0.9998577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00745382835596045,"score_gpt":0.2542178937279409,"score_spread":0.2467640653719805,"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."}}