{"id":"W7037182943","doi":"","title":"DFEMwork: a parallel computing framework for material processing","year":2007,"lang":"en","type":"other","venue":"NPARC","topic":"Ego Development and Educational Practices","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parallel processing; Data processing; Key (lock); Parallel algorithm; Concurrent computing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003352962,0.0002052763,0.000231633,0.000207324,0.0001015326,0.00008122607,0.0002109298,0.0004819396,0.03396616],"category_scores_gemma":[0.00007384025,0.0002015352,0.00005173417,0.000120843,0.00004464767,0.00003288338,0.00003057402,0.0002432959,0.0006627594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002702364,"about_ca_system_score_gemma":0.0001012088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001358612,"about_ca_topic_score_gemma":0.000003712555,"domain_scores_codex":[0.9988459,0.00003297919,0.000235119,0.0003458279,0.0001527186,0.0003874736],"domain_scores_gemma":[0.9991099,0.0002635821,0.0003550536,0.0001756922,0.00003570314,0.00006004345],"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":[0.0001064498,0.00008649786,0.0002027844,0.0001273008,0.00009785641,0.000004050009,0.001016253,1.681802e-7,0.000008742149,0.0481495,0.9034304,0.04677001],"study_design_scores_gemma":[0.0002115345,0.00001829253,0.0003835957,0.0003339132,0.00003411501,0.000006832004,0.0002982999,0.000006068587,0.000004317554,0.02175224,0.9766704,0.0002803971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001089151,0.0003100597,0.03904384,0.0006018716,0.004884729,0.0003975988,0.00001480902,0.000192687,0.9544455],"genre_scores_gemma":[0.002293262,0.000008598674,0.3690706,0.0005674675,0.005283699,0.00005900244,0.0001393629,0.0003072304,0.6222708],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3321747,"threshold_uncertainty_score":0.9669169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05736910077079221,"score_gpt":0.4021015660185657,"score_spread":0.3447324652477735,"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."}}