{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002277729,0.0002345848,0.0004101254,0.0002478713,0.0001506729,0.00004556652,0.0005076508,0.0002984841,0.001433692],"category_scores_gemma":[0.0005299752,0.0002586976,0.0001243084,0.0003611849,0.0003518856,0.00005479102,0.0001907039,0.0001559588,0.000181534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001159484,"about_ca_system_score_gemma":0.0001630184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007479023,"about_ca_topic_score_gemma":0.0008909826,"domain_scores_codex":[0.9974343,0.000442432,0.0003108731,0.0003279034,0.001035092,0.0004494251],"domain_scores_gemma":[0.9990702,0.000123054,0.0003714542,0.0002052595,0.00007213234,0.0001578736],"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":[0.00001347382,0.00005143367,0.0000838381,0.0001892639,0.00008525584,0.00001286412,0.00214731,5.361855e-8,1.443534e-8,0.004875809,0.9005944,0.09194633],"study_design_scores_gemma":[0.0001932971,0.000009774812,0.0001505152,0.0003908364,0.00007431037,4.747105e-8,0.003463339,1.700355e-7,2.09445e-8,0.0007085214,0.9947488,0.0002604178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002584712,0.0008047841,0.000004127722,0.0002814435,0.001331306,0.0004980153,0.00003892111,0.0003092951,0.9967062],"genre_scores_gemma":[0.0004322163,0.006356215,0.0004699344,0.00005583976,0.002397132,0.0000394985,0.0000434965,0.0002268672,0.9899788],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0941544,"threshold_uncertainty_score":0.9999865,"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."}}