{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2234641,0.0009688372,0.001518892,0.01221113,0.003727725,0.01545796,0.003549911,0.004300153,0.022748],"category_scores_gemma":[0.4542931,0.00235381,0.001839373,0.02375728,0.003313727,0.007322137,0.004544013,0.007163349,0.04277178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01354709,"about_ca_system_score_gemma":0.06967831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04445496,"about_ca_topic_score_gemma":0.02315532,"domain_scores_codex":[0.8296558,0.06776992,0.0524453,0.00492824,0.04017752,0.005023121],"domain_scores_gemma":[0.5405889,0.1296927,0.03052299,0.08962049,0.2022323,0.007342611],"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":[0.0003719816,0.0002008182,0.008781907,0.003224338,0.00005480192,0.00008944603,0.002795944,0.000844526,0.001545628,0.03455948,0.7369092,0.210622],"study_design_scores_gemma":[0.0001170088,0.00009419469,0.01707692,0.003851151,0.00004106214,0.0001041913,0.001348257,0.0006784269,0.001479653,0.005717083,0.9693956,0.00009645227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.009217966,0.002380721,0.22619,0.06506142,0.009722334,0.09217666,0.3353579,0.0202266,0.2396664],"genre_scores_gemma":[0.0382724,0.005810058,0.4638721,0.00834181,0.001594798,0.1517568,0.2579329,0.005363334,0.0670558],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2234641,"threshold_uncertainty_score":0.957607,"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."}}