{"id":"W1488661425","doi":"10.1023/a:1011179823237","title":"Improving A Solution's Quality Through Parallel Processing","year":2001,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science","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":[0.003441414,0.0001667784,0.0002591505,0.00009124228,0.000495201,0.0002296428,0.001168911,0.00005170662,0.000008512716],"category_scores_gemma":[0.000212078,0.0001154439,0.0001378125,0.00051297,0.00008568644,0.002063053,0.0002806471,0.0004897232,0.00001287595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001480698,"about_ca_system_score_gemma":0.0002081811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002630587,"about_ca_topic_score_gemma":0.00000945987,"domain_scores_codex":[0.9977341,0.0003634083,0.0007387482,0.000180141,0.0005884044,0.0003951923],"domain_scores_gemma":[0.998341,0.0003349835,0.0005511823,0.0003254638,0.0003659165,0.00008145803],"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":[0.0002528437,0.0004159962,0.004704145,0.0001950957,0.0001040957,0.0001582147,0.02747042,0.03843651,0.2040211,0.006203537,0.0009157134,0.7171223],"study_design_scores_gemma":[0.002108349,0.0003788832,0.01243281,0.0004818131,0.00007272758,0.004140248,0.001646705,0.96183,0.003569946,0.01158458,0.001117479,0.0006364348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2669844,0.0006211739,0.7299286,0.001913036,0.0002227616,0.00006527469,1.512416e-7,0.00005928196,0.0002053291],"genre_scores_gemma":[0.8609496,0.00003270405,0.1381152,0.0004237689,0.000449009,4.389821e-7,2.654894e-7,0.00001111843,0.00001785678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9233935,"threshold_uncertainty_score":0.4707664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04406715998923561,"score_gpt":0.3002528029644518,"score_spread":0.2561856429752162,"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."}}