{"id":"W3124832577","doi":"","title":"Curating for Engagement: Identifying the Nature and Impact of Organizational Marketing Strategies on Pinterest","year":2016,"lang":"en","type":"article","venue":"","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Social media; Influencer marketing; Business; Word of mouth; Customer engagement; Set (abstract data type); Marketing; Rebranding; Social media marketing; Public relations; Advertising; Digital marketing; Political science; Marketing management; Relationship marketing; World Wide Web; Computer science","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":[0.006033371,0.00041123,0.0003228527,0.002706528,0.0018405,0.004950179,0.000633557,0.0008525748,0.002955853],"category_scores_gemma":[0.03050979,0.0002542412,0.0003264237,0.001311361,0.002243601,0.004643647,0.003678899,0.001337441,0.0003171705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956442,"about_ca_system_score_gemma":0.002573296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002532145,"about_ca_topic_score_gemma":0.00485257,"domain_scores_codex":[0.992347,0.004402366,0.0002652635,0.0005312858,0.001463843,0.0009903176],"domain_scores_gemma":[0.9467844,0.03567167,0.01039272,0.00180179,0.003308346,0.002041053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000299933,0.0009323286,0.5771765,0.0005007434,0.0001291536,0.0005977462,0.2519478,0.0001924477,0.004237947,0.009575859,0.0009904074,0.1534193],"study_design_scores_gemma":[0.0000203086,0.0005796761,0.6407476,0.0003327067,0.00009547419,0.0002552867,0.3398606,0.001394714,0.002555419,0.002719213,0.01140002,0.00003892264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825454,0.0002016777,0.001202219,0.0007426369,0.000008827386,0.0001098925,0.00002572239,0.00001275476,0.01515098],"genre_scores_gemma":[0.9983832,0.0001146297,0.0005777759,0.0001324599,0.00000947589,0.00006231404,0.00001709953,0.000008430121,0.0006946025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006033371,"threshold_uncertainty_score":0.03190792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1137304280370214,"score_gpt":0.4603062562844503,"score_spread":0.3465758282474289,"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."}}