{"id":"W4234033075","doi":"10.7771/2380-176x.6687","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","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":[0.001586851,0.0001699694,0.0001522336,0.00006070544,0.0001972471,0.00005171333,0.000547802,0.00005862479,0.000087969],"category_scores_gemma":[0.0003899311,0.0001095379,0.0001098744,0.0003120912,0.0001669434,0.00007966431,0.000115927,0.0002028914,0.01908002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004406977,"about_ca_system_score_gemma":0.00001792862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002129625,"about_ca_topic_score_gemma":0.0000984966,"domain_scores_codex":[0.9985091,0.000379481,0.0001815148,0.0002397897,0.0002751327,0.0004149464],"domain_scores_gemma":[0.9987696,0.0001791242,0.00008385044,0.0008349126,0.00003716313,0.0000953279],"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":[0.0001754461,0.0001995786,0.001119808,0.00002390709,0.0001347497,0.00002770184,0.003590037,0.0002569273,0.2867813,0.08557106,0.5375578,0.08456167],"study_design_scores_gemma":[0.0009932717,0.0001426448,0.002941632,0.00002881147,0.00003080612,0.00001290707,0.0002700031,0.008726697,0.002185164,0.01243038,0.9718142,0.0004235457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8613685,0.00008553782,0.0003883341,0.001835172,0.0003325105,0.0002790845,0.00003358811,0.0004475852,0.1352297],"genre_scores_gemma":[0.9946802,0.000004346079,0.0001673169,0.002555138,0.0003062529,0.0000267677,0.00002696815,0.00008686872,0.002146189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4342563,"threshold_uncertainty_score":0.9816837,"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."}}