{"id":"W7096285099","doi":"","title":"II. Data Dissemination Practices and the Special Data Dissemination Standard......................4","year":2003,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Government (linguistics); Information Dissemination; Quality (philosophy); Dissemination; Data quality","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01121342,0.001070054,0.001259492,0.0004276086,0.002287874,0.0007895716,0.003462964,0.0004847892,0.001243704],"category_scores_gemma":[0.01902813,0.0007705821,0.0001778562,0.00113493,0.001059206,0.004438694,0.002770294,0.0009679873,0.00007456299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002989929,"about_ca_system_score_gemma":0.0003900338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001946698,"about_ca_topic_score_gemma":0.0007788905,"domain_scores_codex":[0.9905413,0.001462514,0.002137523,0.002534984,0.002152571,0.001171047],"domain_scores_gemma":[0.9815176,0.007409195,0.002686755,0.007277246,0.0006489622,0.0004602672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006598791,0.0004197131,0.00300422,0.0002250428,0.0003000438,0.00002276876,0.001703373,0.000009890371,0.0001505291,0.7074471,0.2270443,0.05901313],"study_design_scores_gemma":[0.009825308,0.0003342433,0.004440415,0.0005564287,0.0016384,0.0007551653,0.003511125,0.08209945,0.0007422116,0.2417944,0.6514931,0.002809706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3092035,0.005363638,0.1369628,0.04219509,0.009503204,0.01160739,0.005274441,0.002931026,0.4769589],"genre_scores_gemma":[0.9317659,0.001217522,0.04705342,0.0006078138,0.002796749,0.0001754218,0.004078203,0.0003048722,0.01200017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6225623,"threshold_uncertainty_score":0.9996693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178105578974367,"score_gpt":0.4280099658725064,"score_spread":0.3101994079750697,"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."}}