{"id":"W4232425849","doi":"10.1002/9781118785317.weom090323","title":"Social Marketing","year":2015,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Management","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Social marketing; Marketing; Promotion (chess); Business; Marketing management; Marketing research; Marketing mix; Product (mathematics); Advertising; Digital marketing; Political science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002383756,0.0007666387,0.0004837038,0.002612905,0.001845255,0.007724514,0.0008289515,0.001843507,0.2601832],"category_scores_gemma":[0.005940602,0.0002003763,0.0004305228,0.002493889,0.001306999,0.004126146,0.002928086,0.001863478,0.08856504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329228,"about_ca_system_score_gemma":0.002635052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002073664,"about_ca_topic_score_gemma":0.002491566,"domain_scores_codex":[0.9975644,0.000678772,0.000118191,0.000272973,0.001176123,0.0001894666],"domain_scores_gemma":[0.9974762,0.0006509796,0.0001666432,0.0003375222,0.0008640206,0.0005048033],"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":[0.00002677468,0.000118909,0.0007585927,0.0003254286,0.00001481813,0.0001178122,0.0007344103,0.0001674008,0.000338218,0.2252466,0.4018973,0.3702538],"study_design_scores_gemma":[0.000005067937,0.00001586244,0.0004900279,0.0001649207,0.000003315688,0.00007420799,0.0002406573,0.0001119045,0.00009013323,0.01447894,0.9843197,0.000005142942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001187357,0.002909881,0.002559667,0.008180676,0.001027928,0.0001456256,0.0005529748,0.0002967325,0.9831391],"genre_scores_gemma":[0.05065318,0.009778008,0.004056461,0.006804525,0.001999308,0.0003038895,0.001384475,0.000298999,0.9247212],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2601832,"threshold_uncertainty_score":0.8703994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554158751908995,"score_gpt":0.286969574958009,"score_spread":0.271427987438919,"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."}}