{"id":"W2361207783","doi":"","title":"The Implementation of Calling MATLAB Math and Graphics Library Based on VC","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"MATLAB; Computer science; Graphics; Computer graphics (images); Visualization; Function (biology); Programming language; Computational science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006164258,0.001343823,0.0007806728,0.001623878,0.0008061712,0.001788279,0.00274424,0.0009978537,0.02227172],"category_scores_gemma":[0.003338335,0.0005106041,0.0006755772,0.001176963,0.0003755163,0.001308126,0.001113637,0.00147885,0.0161251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004894594,"about_ca_system_score_gemma":0.001313249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002985445,"about_ca_topic_score_gemma":0.001947613,"domain_scores_codex":[0.9985852,0.0002056951,0.0001341482,0.0002620684,0.000643257,0.0001695912],"domain_scores_gemma":[0.9991147,0.0001753666,0.00005995015,0.0001911708,0.0003940608,0.00006474434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002815576,0.0001218243,0.00148081,0.0007187428,0.00006958413,0.0006937743,0.000436419,0.01067054,0.04056328,0.04350735,0.09245795,0.8089982],"study_design_scores_gemma":[0.0001826964,0.0002521578,0.002471261,0.0003123705,0.0001349495,0.003824928,0.0001622269,0.1472689,0.1781706,0.01902331,0.6478581,0.0003384593],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002906713,0.0005026417,0.9277305,0.0002060159,0.0004940829,0.0001607671,0.0004795081,0.04497613,0.02254354],"genre_scores_gemma":[0.06939846,0.001160986,0.8677072,0.0005440523,0.0002947126,0.0008680857,0.004087656,0.00927522,0.0466635],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02227172,"threshold_uncertainty_score":0.07450634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007273724084527051,"score_gpt":0.2744594657868364,"score_spread":0.2671857417023094,"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."}}