{"id":"W7015043470","doi":"","title":"RETRANSMISSION: HIVE Expands NVIDIA Chip Suite to Power AI Boom with $30 Million H100 and H200 GPU Clusters to be Deployed in Quebec","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":[0.0001158395,0.0004099801,0.0004073069,0.0006321132,0.00002595253,0.0007077221,0.0006915941,0.0002421617,0.0005315404],"category_scores_gemma":[0.000008336128,0.0003102273,0.00005267091,0.0005224131,0.00004258501,0.0004231322,0.0004000932,0.0002381151,0.0004184427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008112981,"about_ca_system_score_gemma":0.0001521815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004782667,"about_ca_topic_score_gemma":0.02421552,"domain_scores_codex":[0.997945,0.00002805048,0.0002728749,0.001085697,0.0002466616,0.000421772],"domain_scores_gemma":[0.9986762,0.00003167171,0.00004774064,0.0007526384,0.0000207302,0.0004710385],"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":[0.00003764787,0.00003278845,0.0001635673,0.00008648926,0.00003632839,0.0001241896,0.001349656,0.000004124402,0.00001509405,0.001728057,0.9837314,0.01269063],"study_design_scores_gemma":[0.0004316653,0.0002751344,0.0003625092,0.0006935374,0.000009766239,0.00001414049,0.00007861605,0.0001415939,0.00005704086,0.0001410906,0.9971762,0.0006187584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001399394,0.001323524,0.09041367,0.01320153,0.0008102085,0.001502411,0.0001840167,0.0006284034,0.8905368],"genre_scores_gemma":[0.009609803,0.00006475807,0.01210213,0.01906072,0.0001432565,0.00008252748,0.00005450921,0.00034528,0.958537],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07831154,"threshold_uncertainty_score":0.999935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323530290404063,"score_gpt":0.2351380372437804,"score_spread":0.2219027343397398,"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."}}