{"id":"W2255450113","doi":"10.1007/978-3-662-43871-8_60","title":"Internet Advertisements Prediction","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"The Internet; Openness to experience; Variety (cybernetics); Advertising; Internet privacy; World Wide Web; Identification (biology); Computer science; Business; Psychology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001496558,0.0001598072,0.0001779297,0.0001431001,0.00001907407,0.00009965545,0.0007922174,0.0001225227,0.0005225381],"category_scores_gemma":[0.000008022042,0.0001373655,0.00008195504,0.00002713773,0.00001765622,0.0002614136,0.0004436456,0.0001354444,0.001310741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006064048,"about_ca_system_score_gemma":0.0000513657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003096263,"about_ca_topic_score_gemma":0.00001011813,"domain_scores_codex":[0.998921,0.00000667786,0.0002094415,0.0003960473,0.0003507971,0.0001159947],"domain_scores_gemma":[0.9990718,0.000008803151,0.00009353917,0.0006427042,0.00008337314,0.00009979685],"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":[0.000001134661,0.000009131139,0.00003489352,0.000006617119,0.0001421822,0.00001579827,0.00006751806,0.000005480694,0.000002224912,0.3042757,0.6220898,0.07334953],"study_design_scores_gemma":[0.0001155189,0.00005964054,0.00001544881,0.00007371749,0.00004303089,0.000006140329,0.000001573819,0.01824831,0.00001142083,0.009304795,0.9719346,0.0001857703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001150163,0.0001300954,0.2127801,0.00008712905,0.0003058829,0.00003386578,0.00002509605,0.0001839236,0.7864528],"genre_scores_gemma":[0.001131344,0.00002889039,0.005298854,0.0001274049,0.000121058,0.000002105316,0.0001428942,0.00001159293,0.9931359],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3498448,"threshold_uncertainty_score":0.9994668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05654265865935865,"score_gpt":0.2422449917830784,"score_spread":0.1857023331237198,"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."}}