{"id":"W7083866290","doi":"","title":"Fairfax bids $300 million for Toys R Us's Canada business","year":2018,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stalking; Bidding; Set (abstract data type); Government (linguistics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009297428,0.0009968759,0.0004454084,0.002775474,0.005128106,0.005946802,0.001172718,0.001855199,0.4415733],"category_scores_gemma":[0.004597199,0.0004023958,0.0006982011,0.002177659,0.001150136,0.001409674,0.001578106,0.001772253,0.1371357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01040333,"about_ca_system_score_gemma":0.01087574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5877966,"about_ca_topic_score_gemma":0.7943184,"domain_scores_codex":[0.9988208,0.00003951687,0.0000150261,0.00007792551,0.0007333554,0.0003133093],"domain_scores_gemma":[0.998104,0.0001473729,0.00005273218,0.000129413,0.0008850897,0.0006813598],"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":[0.00003898955,0.00002449086,0.0003023412,0.00001241903,0.000003441605,0.00004849931,0.00002306906,0.00004871644,0.0001105165,0.004168505,0.9791417,0.01607735],"study_design_scores_gemma":[0.00002966748,0.00001506323,0.001458015,0.00003298633,0.000004699882,0.00005134481,0.0001359396,0.0004070979,0.0003860322,0.001111732,0.9963511,0.00001619548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002666501,0.0005140647,0.0008094703,0.004842159,0.0008507927,0.0001802184,0.006902212,0.001950754,0.9812838],"genre_scores_gemma":[0.01299806,0.0005797252,0.000582058,0.001083081,0.000184239,0.0000413587,0.003524276,0.0002919729,0.9807152],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5584267,"threshold_uncertainty_score":0.8292618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132478200237208,"score_gpt":0.2271995056142998,"score_spread":0.2158747236119277,"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."}}