{"id":"W47277322","doi":"10.1177/073953290002100108","title":"How Demographic Variables Affect Newspaper Delivery","year":2000,"lang":"en","type":"article","venue":"Newspaper Research Journal","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Reliability (semiconductor); Affect (linguistics); Service delivery framework; Rhetoric; Service (business); Business; Advertising; Sociology; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001549446,0.000107351,0.0001985746,0.001058208,0.0004283616,0.001094608,0.0002644662,0.00027524,0.008554569],"category_scores_gemma":[0.02114966,0.0001324998,0.0003327343,0.001785974,0.0002314296,0.001109197,0.0003022006,0.0005631222,0.001523146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003029127,"about_ca_system_score_gemma":0.0003000053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006001456,"about_ca_topic_score_gemma":0.007040256,"domain_scores_codex":[0.9988097,0.0004294501,0.0001658696,0.0001207728,0.0003425854,0.0001316745],"domain_scores_gemma":[0.9793576,0.01018377,0.006963273,0.0005404821,0.001750496,0.001204433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007346514,0.00006112125,0.9852283,0.00005519823,0.00005617548,0.0001457575,0.001355338,0.00003031562,0.00006823929,0.0001213854,0.001409677,0.01139501],"study_design_scores_gemma":[0.000001340538,0.00003520473,0.9964963,0.00003383249,0.00001703944,0.0001205841,0.001555186,0.00005463098,0.00003334602,0.00003576867,0.001612676,0.000004131153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867629,0.001951401,0.0002235612,0.001082203,0.00006070509,0.00002930466,0.001463777,0.000009699364,0.008416365],"genre_scores_gemma":[0.9952477,0.001311921,0.0001443034,0.0001810762,0.00007719798,0.00002065283,0.0006600572,0.00001036022,0.002346719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008554569,"threshold_uncertainty_score":0.02861792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03466772093167691,"score_gpt":0.3006915210062472,"score_spread":0.2660238000745703,"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."}}