{"id":"W2923762246","doi":"10.5539/cis.v12n2p46","title":"Developing a Web Credibility Evaluation Tool Using PROMETHEE Method","year":2019,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credibility; Ranking (information retrieval); Computer science; Pairwise comparison; Rank (graph theory); Information retrieval; Preference; The Internet; Order (exchange); Relation (database); Correlation coefficient; Data mining; World Wide Web; Machine learning; Statistics; 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":[0.01623316,0.001191149,0.001035011,0.01074094,0.001256688,0.003627468,0.001561555,0.001236299,0.009623267],"category_scores_gemma":[0.04662716,0.0008402643,0.001198797,0.003444139,0.0007894434,0.003474375,0.002217567,0.001571171,0.002248934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009845486,"about_ca_system_score_gemma":0.001784815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008856303,"about_ca_topic_score_gemma":0.001093403,"domain_scores_codex":[0.987675,0.006478343,0.001176512,0.0008071871,0.00359946,0.0002636262],"domain_scores_gemma":[0.9629781,0.02484591,0.00176422,0.001455999,0.008619032,0.0003367797],"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":[0.0003730126,0.0006134034,0.007102726,0.001999164,0.0001974721,0.0007522374,0.002658638,0.03217796,0.01152001,0.06038167,0.01477753,0.8674462],"study_design_scores_gemma":[0.0003268663,0.0004331238,0.006421017,0.0008027358,0.0002044386,0.001433791,0.001749624,0.8161283,0.03462031,0.0624996,0.07504006,0.0003401231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01117814,0.0001715873,0.9748423,0.0002213577,0.00006541111,0.0008226423,0.0003050165,0.003688777,0.008704726],"genre_scores_gemma":[0.06830347,0.0001315482,0.9274344,0.0000401783,0.00002143914,0.001125319,0.000358266,0.0001876032,0.002397731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01623316,"threshold_uncertainty_score":0.08585018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1067396459381756,"score_gpt":0.4302804720116822,"score_spread":0.3235408260735066,"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."}}