{"id":"W2029906029","doi":"10.1145/2631775.2631821","title":"Self-adaptive filtering using pid feedback controller in electronic commerce","year":2014,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatoon Medical Imaging","funders":"","keywords":"Honesty; Reputation; Computer science; Revenue; Robustness (evolution); PID controller; Quality (philosophy); Business; Intuition; Computer security; Psychology; Law; Control engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008916019,0.0004922232,0.0007213111,0.0004485791,0.0006744639,0.00130727,0.0010266,0.0009115018,0.001486583],"category_scores_gemma":[0.00199638,0.0002592257,0.000466371,0.0003183053,0.0007018486,0.0006687533,0.0005507597,0.0006529966,0.0003359852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005299544,"about_ca_system_score_gemma":0.0004624422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003325897,"about_ca_topic_score_gemma":0.001483961,"domain_scores_codex":[0.9992536,0.0001269529,0.00006193817,0.0002143139,0.0002619041,0.00008122726],"domain_scores_gemma":[0.999044,0.0003509916,0.0001324869,0.00008684562,0.0003434985,0.0000422929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008778669,0.0006621695,0.004907679,0.0005901319,0.0002435306,0.0009410228,0.000875639,0.5096465,0.1167091,0.02098566,0.003353207,0.3402075],"study_design_scores_gemma":[0.00003837499,0.0002546849,0.0006916513,0.00001767638,0.00003508106,0.0001010293,0.00002555738,0.989498,0.005510706,0.002280919,0.00151466,0.00003179591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05063207,0.001252444,0.9377933,0.0002574522,0.0003359801,0.0001092198,0.00001810981,0.001284415,0.008317032],"genre_scores_gemma":[0.9730207,0.0002806893,0.02392773,0.0001003354,0.00005704991,0.00005899552,0.00001403668,0.0000179291,0.002522456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003325897,"threshold_uncertainty_score":0.006613076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173173617107592,"score_gpt":0.2889133015459053,"score_spread":0.2671815653748294,"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."}}