{"id":"W2172273930","doi":"10.1002/meet.2008.1450450127","title":"The Google Online Marketing Challenge: A multi‐disciplinary global teaching and learning initiative using sponsored search","year":2008,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Competition (biology); Search engine optimization; Discipline; Political science; Business; Marketing; Public relations; World Wide Web; Library science; The Internet; Computer 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":[0.01016823,0.0007083559,0.0006408832,0.002011103,0.004513202,0.01179432,0.00169695,0.005451671,0.01675832],"category_scores_gemma":[0.006850551,0.0003342149,0.0004634879,0.002658552,0.00173963,0.01121636,0.006154275,0.003214883,0.008182293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497055,"about_ca_system_score_gemma":0.00549844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004634867,"about_ca_topic_score_gemma":0.01960257,"domain_scores_codex":[0.9953837,0.001424528,0.0001141439,0.0003332469,0.002074433,0.0006700088],"domain_scores_gemma":[0.9882939,0.002677751,0.0003884576,0.000755127,0.001934128,0.005950623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005287996,0.00019142,0.0006436701,0.00009181281,0.00000813804,0.0001138293,0.0003337753,0.0003390305,0.000687522,0.0121402,0.92204,0.06335764],"study_design_scores_gemma":[0.00007821447,0.000116648,0.001400724,0.0000687114,0.000007803978,0.0001411135,0.001646007,0.002647049,0.0007751497,0.01108527,0.9819804,0.00005285709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07109794,0.01014861,0.03156521,0.5041921,0.01841502,0.002050247,0.004153522,0.004868223,0.3535091],"genre_scores_gemma":[0.361063,0.01440932,0.05606019,0.05208245,0.02096707,0.0015131,0.0127036,0.002665407,0.4785359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01675832,"threshold_uncertainty_score":0.05606216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04367107263851823,"score_gpt":0.3711845944393044,"score_spread":0.3275135218007862,"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."}}