{"id":"W4416287448","doi":"10.2139/ssrn.5714822","title":"Forecast of Compute Platform Development","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Wright; Constraint (computer-aided design); Key (lock); Upper and lower bounds; Development (topology); Power (physics); Magnitude (astronomy)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001031388,0.0007988822,0.0004291105,0.002614141,0.000293129,0.001564334,0.000563439,0.001136388,0.005034004],"category_scores_gemma":[0.007368849,0.0004882119,0.0005311053,0.002425241,0.0002453775,0.002175237,0.0004898457,0.001917119,0.00247332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002154576,"about_ca_system_score_gemma":0.001393072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0140565,"about_ca_topic_score_gemma":0.01320909,"domain_scores_codex":[0.9995309,0.00004348051,0.00002186976,0.0001098937,0.0002227004,0.0000710981],"domain_scores_gemma":[0.9949791,0.001188579,0.0009123142,0.0002740325,0.002083442,0.0005625613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001367921,0.0001470152,0.1232933,0.0005565878,0.0001776939,0.0005466752,0.0001502554,0.6139813,0.009234607,0.04122744,0.1222609,0.08705631],"study_design_scores_gemma":[0.00005650461,0.0003526285,0.1548763,0.0001699659,0.00008191445,0.0002124253,0.0002287193,0.7510316,0.007516359,0.02303446,0.06232636,0.0001127446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7120381,0.005128828,0.06490085,0.008793023,0.001778267,0.0002072812,0.1291243,0.003738236,0.07429096],"genre_scores_gemma":[0.9579309,0.001546834,0.0075102,0.0002129557,0.0002016205,0.00008934075,0.02378115,0.0001697799,0.00855705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0140565,"threshold_uncertainty_score":0.02794939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080707361291552,"score_gpt":0.2675969598844404,"score_spread":0.2467898862715249,"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."}}