{"id":"W2596520444","doi":"10.1088/1757-899x/180/1/012062","title":"On Using Goldbach G0 Codes and Even-Rodeh Codes for Text Compression on Using Goldbach G0 Codes and Even-Rodeh Codes for Text Compression","year":2017,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"ASCII; Uncompressed video; Computer science; Goldbach's conjecture; Arithmetic; Mathematics; Artificial intelligence; Discrete mathematics; Number theory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002557636,0.0007789655,0.0004307899,0.001706648,0.0005114372,0.001119429,0.0005480836,0.0007563547,0.001769142],"category_scores_gemma":[0.01585877,0.0001726815,0.0003188724,0.00187218,0.001081264,0.002740112,0.0007467353,0.0006255464,0.0006566272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006782102,"about_ca_system_score_gemma":0.00103262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002467376,"about_ca_topic_score_gemma":0.002892494,"domain_scores_codex":[0.997878,0.0007144519,0.0001613602,0.000232238,0.0008464926,0.0001675665],"domain_scores_gemma":[0.9907802,0.005820098,0.0006463489,0.001272542,0.001338218,0.00014273],"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":[0.00289363,0.0002686033,0.00794113,0.0006520143,0.0001298707,0.0004712579,0.0005997635,0.193113,0.09456621,0.04834564,0.003379049,0.6476398],"study_design_scores_gemma":[0.0001479657,0.001228755,0.003016218,0.0001829333,0.00009448941,0.0008750863,0.000445767,0.7166684,0.2437567,0.02431806,0.009172519,0.00009308775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6605622,0.004180867,0.3183912,0.000812614,0.000168497,0.0002068188,0.0003678631,0.001590657,0.01371925],"genre_scores_gemma":[0.7021435,0.001495211,0.2902942,0.0002862201,0.00006403449,0.000145796,0.0006932596,0.0002392832,0.004638461],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002557636,"threshold_uncertainty_score":0.0135262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04564023271615302,"score_gpt":0.2919211199435828,"score_spread":0.2462808872274298,"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."}}