{"id":"W6980382644","doi":"","title":"Canada's Data Centre and Cloud Expo Set to Gather Industry Leaders in 2025","year":2024,"lang":"en","type":"other","venue":"","topic":"Cybernetics and Technology in Society","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Set (abstract data type); Data set; Key (lock); Data center","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005000644,0.0001714476,0.0001825502,0.00007318401,0.00002311066,0.00006954878,0.0003055738,0.0003788911,0.02270223],"category_scores_gemma":[0.000007491399,0.0001455255,0.0000151175,0.0000325326,0.000178418,0.00001147862,0.0003311044,0.0005602741,0.0001234363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004105259,"about_ca_system_score_gemma":0.0001442863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7568308,"about_ca_topic_score_gemma":0.9927449,"domain_scores_codex":[0.9992093,0.00000812461,0.0001158858,0.0003597845,0.0001033395,0.0002035666],"domain_scores_gemma":[0.9994449,0.00001212151,0.00002501342,0.0004604401,0.000007205551,0.0000503196],"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":[4.00581e-7,0.000005851882,0.00006053484,0.00003824088,0.00004948545,0.00001866621,0.002667366,3.400302e-8,8.888931e-8,0.0374817,0.959246,0.0004316144],"study_design_scores_gemma":[0.00007217487,0.00000477799,0.000003266093,0.0001507418,0.00001993497,6.645416e-7,0.01894813,0.000004831111,7.290119e-7,0.0002689158,0.9803458,0.0001800262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003116201,0.001714794,2.665644e-7,0.007945155,0.001089783,0.0001710662,0.001470703,0.0001027788,0.9871938],"genre_scores_gemma":[0.002082578,0.00008835765,0.00003084571,0.001574788,0.0007437771,0.000004035473,0.0001051925,0.0001506177,0.9952198],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2359142,"threshold_uncertainty_score":0.9781911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06430861074039625,"score_gpt":0.2660159792022538,"score_spread":0.2017073684618576,"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."}}