{"id":"W7093487391","doi":"","title":"HIVE Expands NVIDIA Chip Suite to Power AI Boom with $30 Million H100 and H200 GPU Clusters to be Deployed in Quebec By Investing.com","year":2024,"lang":"en","type":"other","venue":"","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Suite; Boom; Power (physics); Chip; Key (lock)","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"],"consensus_categories":[],"category_scores_codex":[0.0001241482,0.0004419311,0.0004136038,0.0005850138,0.00002739268,0.0009471436,0.0007428647,0.0002034218,0.0001651531],"category_scores_gemma":[0.00002014546,0.0003601561,0.00004118655,0.0004565685,0.00006412356,0.0004692342,0.0007362612,0.0002328411,0.0004101817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009593311,"about_ca_system_score_gemma":0.000146725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01534929,"about_ca_topic_score_gemma":0.04497322,"domain_scores_codex":[0.9978777,0.00003296019,0.0002910075,0.001107322,0.0002218588,0.0004691565],"domain_scores_gemma":[0.9986783,0.00004996585,0.00007119025,0.0007187701,0.00001981311,0.000461934],"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":[0.00001129636,0.00002606671,0.0004258814,0.00004712661,0.00002885441,0.00004143366,0.0007740917,0.000003388946,0.00001775405,0.001170805,0.993782,0.003671341],"study_design_scores_gemma":[0.0004370583,0.0002597381,0.0002251918,0.000468632,0.00001002855,0.00001225439,0.00008704307,0.0002337738,0.00006007112,0.0001706696,0.9973006,0.0007349131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005097553,0.001703867,0.06069682,0.01636875,0.0009693486,0.002091999,0.0005325253,0.001029925,0.9115092],"genre_scores_gemma":[0.007193478,0.00002569768,0.01033216,0.03702767,0.0001105202,0.0001192693,0.000115408,0.0003932548,0.9446825],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05036466,"threshold_uncertainty_score":0.999885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426289947216351,"score_gpt":0.2293301200071898,"score_spread":0.2150672205350263,"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."}}