{"id":"W2592670932","doi":"","title":"Evaluation of Python-based tools for distributed computing on the Raspberry Pi","year":2016,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Python (programming language); Computer science; Factorization; Raspberry pi; Parallel computing; Algorithm; Mathematics; Operating system; Embedded system; Internet of Things","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005994907,0.0001721454,0.000198177,0.0001398102,0.0002752842,0.0003315834,0.001068544,0.00004345914,0.000001115558],"category_scores_gemma":[0.002358056,0.0001046105,0.00006455403,0.0006692698,0.0001275537,0.0004392204,0.0002201637,0.00006880984,0.000002481413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001164446,"about_ca_system_score_gemma":0.0003079595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000207371,"about_ca_topic_score_gemma":1.939691e-7,"domain_scores_codex":[0.9977712,0.00008333836,0.0002965432,0.0004697121,0.001000569,0.0003786077],"domain_scores_gemma":[0.9957305,0.002595064,0.0001321734,0.0005458451,0.0008990798,0.00009736865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000651817,0.00004887102,0.0004823573,0.00006201328,0.00002683053,0.000001387739,0.0002924966,0.3620195,0.001195615,0.01470186,0.0005723222,0.6205902],"study_design_scores_gemma":[0.0004671672,0.000127448,0.004096487,0.0002729822,0.000009406735,0.000004306924,0.000003072762,0.9925226,0.00143957,0.0002535033,0.0006354832,0.000168002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0675676,0.00005683137,0.9306514,0.0004096479,0.0007190477,0.0003714778,0.00001811017,0.0001985993,0.000007239712],"genre_scores_gemma":[0.9502815,7.444687e-7,0.04947239,0.00009860573,0.0001163561,0.00001828321,0.000003114716,0.000007808979,0.000001206486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8827139,"threshold_uncertainty_score":0.4265892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04019562558123467,"score_gpt":0.2567557795302319,"score_spread":0.2165601539489972,"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."}}