{"id":"W3002915432","doi":"10.1007/978-3-030-39512-4_37","title":"A Novel Heuristic Mechanism to Formalize Online Behavior Through Search Engine Credibility","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Credibility; Pairwise comparison; Ranking (information retrieval); Heuristic; Computer science; Mechanism (biology); Search engine; Incentive; Information retrieval; Function (biology); Data mining; Machine learning; Artificial intelligence; Microeconomics; Economics; Political science","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":[0.004267586,0.000890396,0.0009310844,0.00228073,0.0009877119,0.002883555,0.003701526,0.002118234,0.006782566],"category_scores_gemma":[0.02821744,0.0008358773,0.001292443,0.002025562,0.003881188,0.007937844,0.002542321,0.003584719,0.0007545635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710284,"about_ca_system_score_gemma":0.001795982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003199516,"about_ca_topic_score_gemma":0.003568647,"domain_scores_codex":[0.9963604,0.001581911,0.000225366,0.0005408733,0.0009778435,0.000313648],"domain_scores_gemma":[0.97847,0.01574592,0.00143672,0.002765727,0.001136949,0.0004448055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006234863,0.0001149181,0.001084827,0.00009355167,0.0000497393,0.000129407,0.0003072459,0.07729305,0.001560254,0.8909729,0.00186619,0.02646562],"study_design_scores_gemma":[0.00002452477,0.00003158638,0.0001900022,0.00002173521,0.00002777111,0.00007198937,0.00005345726,0.6776141,0.001148425,0.3188637,0.001923304,0.00002936091],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01372436,0.0001125289,0.975418,0.0004760378,0.00006038271,0.0001017597,0.0001535981,0.0006126278,0.009340799],"genre_scores_gemma":[0.5814058,0.0001269926,0.4122987,0.0002018803,0.0001253828,0.0002916984,0.0002236809,0.0002535918,0.005072219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006782566,"threshold_uncertainty_score":0.02268994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05453049577486595,"score_gpt":0.2971344377800078,"score_spread":0.2426039420051418,"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."}}