{"id":"W4231535824","doi":"10.7771/2380-176x.6742","title":"Full Page Ads","year":2014,"lang":"en","type":"article","venue":"Against the grain","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Business; Advertising","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003740004,0.001031933,0.0007814376,0.001958657,0.003007098,0.004536853,0.0009747652,0.00295302,0.9315774],"category_scores_gemma":[0.00299217,0.000540491,0.0007037709,0.001122994,0.000518102,0.002060909,0.001947948,0.002383209,0.8302385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009232862,"about_ca_system_score_gemma":0.001257836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007619577,"about_ca_topic_score_gemma":0.02663038,"domain_scores_codex":[0.9996135,0.00003644894,0.00000963351,0.00003568132,0.0002134038,0.00009131717],"domain_scores_gemma":[0.9988949,0.0002362336,0.00002853566,0.0001460413,0.0004628236,0.0002314109],"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":[0.00003452197,0.00004618426,0.0000759864,0.00003686593,0.000002009142,0.00004135081,0.00002417745,0.00001827124,0.0001297087,0.00134085,0.9823775,0.01587251],"study_design_scores_gemma":[0.00001877985,0.0000155678,0.0005297783,0.00003613703,0.000004095453,0.00004860659,0.00009317378,0.0000555946,0.0002108203,0.0009917455,0.9979887,0.000007109318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003410969,0.0001588929,0.0001470028,0.0009177386,0.001263555,0.00006117449,0.001911074,0.0007894289,0.9944101],"genre_scores_gemma":[0.001300435,0.0001058471,0.00008216582,0.0007268534,0.0002544819,0.00001680297,0.0007226191,0.0002669785,0.9965238],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06842256,"threshold_uncertainty_score":0.09759641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385733497199338,"score_gpt":0.2318090985098096,"score_spread":0.2179517635378163,"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."}}