{"id":"W6912126161","doi":"10.5281/zenodo.15185245","title":"Introduction to High-Performance Computing","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Presentation (obstetrics); History of computing; Alliance; Key (lock); Term (time)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00136377,0.001439266,0.0009197614,0.001644864,0.00128627,0.00414633,0.001819263,0.002277985,0.09488621],"category_scores_gemma":[0.003297783,0.0009165472,0.0008292861,0.003250668,0.001903196,0.00472073,0.002187735,0.006741706,0.04675473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556484,"about_ca_system_score_gemma":0.001701514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008800673,"about_ca_topic_score_gemma":0.0008265903,"domain_scores_codex":[0.998189,0.0002782023,0.0001151967,0.000334014,0.0009031375,0.0001804474],"domain_scores_gemma":[0.9975446,0.001076036,0.00006330736,0.0003059787,0.0006628973,0.000347301],"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":[0.00005303298,0.0000671884,0.0001865083,0.00104418,0.00002442,0.0001357858,0.000318703,0.0009513079,0.001757357,0.1778865,0.6190041,0.1985709],"study_design_scores_gemma":[0.000004172322,0.00001574947,0.00009205313,0.0001544989,0.000002208867,0.0001202978,0.00002064954,0.0002438701,0.0001589592,0.02675053,0.9724271,0.000009964481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001189063,0.2312994,0.1408311,0.03536016,0.03702466,0.0004858568,0.001781584,0.00442761,0.5476006],"genre_scores_gemma":[0.02363119,0.2184227,0.091814,0.02078057,0.05081397,0.0008633172,0.002519361,0.002947521,0.5882074],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09488621,"threshold_uncertainty_score":0.317426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571746761300125,"score_gpt":0.2318768296623525,"score_spread":0.2161593620493513,"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."}}