{"id":"W3199792128","doi":"10.18438/eblip29989","title":"Engagement with Search-Based Advertising on Search Engine Results Pages Varies Based on the User’s Prior Knowledge and Screen Size","year":2021,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Usability; Eye tracking; World Wide Web; Search engine; Task (project management); Information retrieval; Demographics; Order (exchange); Selection (genetic algorithm); Psychology; Human–computer interaction; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001272456,0.0001840245,0.0003061663,0.0009995159,0.0002897443,0.002401811,0.0001819081,0.0004252282,0.004430645],"category_scores_gemma":[0.01244836,0.0002713814,0.0004122069,0.0005395372,0.0002574,0.00189186,0.0006019541,0.0004859746,0.001260481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002666115,"about_ca_system_score_gemma":0.000203415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002290328,"about_ca_topic_score_gemma":0.0039822,"domain_scores_codex":[0.9989778,0.0003491398,0.0001089526,0.000130485,0.0003455604,0.00008805225],"domain_scores_gemma":[0.9849834,0.0114799,0.001304006,0.0005057182,0.001328364,0.0003986142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007683192,0.0006893973,0.7672777,0.0008223593,0.0003194352,0.000443284,0.02291924,0.0002071059,0.01755228,0.0007565608,0.002513242,0.185731],"study_design_scores_gemma":[0.00001296655,0.0002398214,0.986032,0.0001198391,0.0001223008,0.0006107764,0.003988466,0.0008528631,0.001489713,0.0002881186,0.006201815,0.0000413152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896712,0.001699368,0.0005756287,0.0001592894,0.000007949996,0.00001413621,0.0001331852,0.00002707742,0.007712187],"genre_scores_gemma":[0.995242,0.001317586,0.0005387679,0.00008386317,0.00001963092,0.00001389404,0.0002728441,0.00002477731,0.00248674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004430645,"threshold_uncertainty_score":0.01482201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03114644756192895,"score_gpt":0.2977004709360195,"score_spread":0.2665540233740905,"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."}}