{"id":"W2045334322","doi":"10.5539/cis.v1n2p106","title":"A New Mixing Programming Method","year":2008,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; MATLAB; Realization (probability); Interface (matter); Mixing (physics); Programming language; Automation; Function (biology); Computational science; Computer graphics (images); Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0002570206,0.00007610654,0.00007243236,0.0002009683,0.0005090557,0.0002725758,0.0006024531,0.00001757602,0.000001579432],"category_scores_gemma":[0.00001288846,0.00006881548,0.00002008404,0.001009149,0.00009285954,0.008362451,0.0003345273,0.00006456466,0.0000196349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002379677,"about_ca_system_score_gemma":0.0001697312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006310731,"about_ca_topic_score_gemma":5.903402e-8,"domain_scores_codex":[0.9991221,0.000007607124,0.0002038791,0.0001842458,0.0003020685,0.0001801078],"domain_scores_gemma":[0.9993398,0.00004199181,0.00008407951,0.0002256355,0.0001669692,0.000141594],"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":[3.131305e-7,0.000003269622,0.00002865326,0.000002103596,6.301382e-7,3.479581e-7,0.0007545782,0.0005806988,0.00004047241,0.2977138,0.0003561596,0.7005189],"study_design_scores_gemma":[0.0001767782,0.0000570705,0.00455963,0.00001129016,8.739245e-7,0.0002865893,0.00001009717,0.8264428,0.001185166,0.01053062,0.1565512,0.0001879094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004619915,0.00001341672,0.9968296,0.00061654,0.00008267517,0.0001324958,2.755004e-7,0.000253101,0.001609906],"genre_scores_gemma":[0.03898388,0.00001725166,0.9599229,0.00100069,0.00004092742,0.00001078225,0.000001191292,0.000001369212,0.0000210331],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8258621,"threshold_uncertainty_score":0.6062575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370893004684392,"score_gpt":0.3164053857399196,"score_spread":0.2926964556930757,"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."}}