{"id":"W2748285253","doi":"","title":"Implementing Strategic Communications Planning in a Large Federal Agency","year":2015,"lang":"en","type":"article","venue":"The innovation journal","topic":"Web and Library Services","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Human services; Strategic planning; Public relations; Process (computing); Business; Political science; Marketing; Computer science; Sociology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0397163,0.0005946395,0.0003519644,0.002575526,0.01798858,0.01721196,0.003420704,0.004633748,0.01644556],"category_scores_gemma":[0.03006556,0.0008769855,0.0009109032,0.00266106,0.005856001,0.007672864,0.009841368,0.006290588,0.003694129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04129403,"about_ca_system_score_gemma":0.1526583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08703712,"about_ca_topic_score_gemma":0.1018358,"domain_scores_codex":[0.9601887,0.01753792,0.001643687,0.003598318,0.008046783,0.008984597],"domain_scores_gemma":[0.9525189,0.01194874,0.003458743,0.005204215,0.01427196,0.01259743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001687487,0.001171847,0.01747773,0.0003727837,0.0001366652,0.001733969,0.01484995,0.007820611,0.00222465,0.4136281,0.2163949,0.32402],"study_design_scores_gemma":[0.00007178156,0.0004815527,0.00970233,0.0005939136,0.00006859865,0.0003181603,0.01651331,0.004741928,0.00142569,0.04276656,0.9231487,0.0001673729],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09517486,0.00251076,0.07369373,0.1676326,0.001784999,0.002601217,0.0004175201,0.002869266,0.6533151],"genre_scores_gemma":[0.7415584,0.001893186,0.1188077,0.03241673,0.0008745758,0.001401706,0.0006594263,0.0003358507,0.1020525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08703712,"threshold_uncertainty_score":0.2996106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096174443662323,"score_gpt":0.3318686824045731,"score_spread":0.2222512380383408,"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."}}