{"id":"W2848040679","doi":"10.22214/ijraset.2018.7001","title":"Disruptive Technology for Significant Performance Enhancement","year":2018,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Business","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":[0.001235523,0.00009670545,0.0001125139,0.001721207,0.0002562733,0.00006148579,0.0006523486,0.00007901146,0.000002330889],"category_scores_gemma":[0.00023558,0.0000918334,0.00001410721,0.0009523987,0.0005353634,0.0001388328,0.0001424035,0.000422784,0.000003145283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002738859,"about_ca_system_score_gemma":0.00005354553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.735143e-7,"about_ca_topic_score_gemma":3.715571e-7,"domain_scores_codex":[0.9986902,0.000001942678,0.0002060143,0.0002231315,0.0003235718,0.0005551587],"domain_scores_gemma":[0.999258,0.00009718865,0.00002351592,0.0001029018,0.0004567276,0.00006164239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005631025,0.0000162393,0.00005862402,0.00003046504,0.00001493755,0.000005452172,0.000087902,0.003847584,0.8023493,0.02707685,0.00006850293,0.1663878],"study_design_scores_gemma":[0.0006105931,0.0003852661,0.00006480752,0.0001082019,0.000001605022,0.00008450466,0.0002879081,0.257411,0.7109272,0.01643607,0.01350459,0.0001782138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8537721,0.00008795259,0.1434961,0.00091325,0.0008723081,0.0004038815,0.000002623003,0.0001533839,0.0002983763],"genre_scores_gemma":[0.9836941,0.0001201852,0.01580022,0.00001086766,0.0001836684,0.0001645574,5.378944e-7,0.00001360812,0.00001230166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2535634,"threshold_uncertainty_score":0.3744857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05782437154284807,"score_gpt":0.389460268385994,"score_spread":0.3316358968431459,"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."}}