{"id":"W1986378259","doi":"10.1016/j.procs.2013.06.025","title":"Ad-centric Model Discovery for Prediciting Ads's Click-through Rate","year":2013,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Click-through rate; Revenue; World Wide Web; The Internet; Search engine; Organic search; Service (business); Online advertising; Web search engine; Web search query","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":[0.004109211,0.001845022,0.001796219,0.005079803,0.0006415325,0.001385281,0.001575829,0.001689219,0.001802188],"category_scores_gemma":[0.009443085,0.000755072,0.002165582,0.003293987,0.0003699881,0.001342802,0.000828233,0.002039392,0.0009123459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380453,"about_ca_system_score_gemma":0.001688922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01664151,"about_ca_topic_score_gemma":0.01800392,"domain_scores_codex":[0.9986781,0.0004814679,0.0001075951,0.0003634882,0.0002167362,0.0001524502],"domain_scores_gemma":[0.9920969,0.005716791,0.0006614889,0.0006013249,0.0007031769,0.0002202474],"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":[0.0008032917,0.001650231,0.1036746,0.0002469813,0.0008568824,0.0002941272,0.0001283258,0.6898413,0.001806109,0.005055387,0.009504382,0.1861384],"study_design_scores_gemma":[0.000008079233,0.00002575867,0.001139216,0.000004131643,0.00002139683,0.00002353631,0.000006687273,0.997592,0.0001600135,0.0008717259,0.0001418973,0.000005585348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4015383,0.003008976,0.5754148,0.002327566,0.0002210362,0.0004020601,0.007433309,0.006200219,0.003453779],"genre_scores_gemma":[0.9310801,0.000344601,0.06230021,0.0001846313,0.000134195,0.0001815762,0.003891997,0.00005882286,0.001823807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01664151,"threshold_uncertainty_score":0.03308928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150087887796619,"score_gpt":0.252134894732684,"score_spread":0.2306340158547178,"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."}}