{"id":"W2354659198","doi":"","title":"Improvement of Text Content Filtering Arithmetic Based on Key Works","year":2007,"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":"Computer science; Disadvantage; Arithmetic; Key (lock); Information retrieval; Artificial intelligence; Mathematics","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":[0.001579108,0.001028037,0.0008758578,0.004218069,0.001072203,0.002591808,0.002149861,0.0006985868,0.009288544],"category_scores_gemma":[0.007979391,0.0004429239,0.0009390752,0.003100049,0.0006967869,0.006318046,0.001182651,0.0008002559,0.004650018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036466,"about_ca_system_score_gemma":0.001195061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002415057,"about_ca_topic_score_gemma":0.001586922,"domain_scores_codex":[0.9971008,0.0003307445,0.0004293123,0.0007191517,0.001215744,0.0002042264],"domain_scores_gemma":[0.9955908,0.0009587298,0.000253424,0.001235815,0.001831751,0.0001295677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008836808,0.00009990956,0.002212414,0.0005883233,0.00007050933,0.0002231735,0.0005434258,0.003131771,0.07721989,0.02404003,0.008746114,0.8822407],"study_design_scores_gemma":[0.0003937648,0.001123795,0.007646398,0.0002652299,0.0009420414,0.002161566,0.0007941299,0.171073,0.589841,0.04108128,0.1843254,0.0003523332],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05616238,0.001824916,0.9087116,0.0003846734,0.0005649923,0.0003278399,0.0005137033,0.01909447,0.01241553],"genre_scores_gemma":[0.304301,0.001333701,0.6720586,0.0002925077,0.0005464847,0.0003123293,0.001540796,0.001240112,0.01837444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009288544,"threshold_uncertainty_score":0.03107327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007142587895632,"score_gpt":0.2692895450284476,"score_spread":0.2492181191494913,"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."}}