{"id":"W159721419","doi":"10.2139/ssrn.2013580","title":"Customer Revenue Sharing Program in Online Social Media","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Social media; Business; Revenue; Revenue sharing; Marketing; Advertising; Internet privacy; World Wide Web; Computer science; Finance","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":[0.002013367,0.0002735764,0.0002355734,0.001480584,0.001956237,0.001461677,0.001320293,0.000555923,0.04818558],"category_scores_gemma":[0.004147435,0.0002045198,0.000487684,0.0007774342,0.0004182698,0.001425971,0.001529346,0.00104339,0.006331846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031687,"about_ca_system_score_gemma":0.002372413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003040752,"about_ca_topic_score_gemma":0.003907959,"domain_scores_codex":[0.9988405,0.0003751935,0.00003104348,0.0001525861,0.000251146,0.000349516],"domain_scores_gemma":[0.9955983,0.001508493,0.0002820663,0.000678569,0.0005683737,0.00136413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00612276,0.07144248,0.0659933,0.0001598327,0.0001040845,0.0005935692,0.002324819,0.003916369,0.008999959,0.01454554,0.06445254,0.7613448],"study_design_scores_gemma":[0.005713473,0.02738258,0.5596156,0.0001941124,0.0009276053,0.001512365,0.01255536,0.1185593,0.07032369,0.01334572,0.1894846,0.0003856695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8972405,0.00003655814,0.00369615,0.0007549158,0.0001278478,0.001138724,0.0005220862,0.001435886,0.0950473],"genre_scores_gemma":[0.9454279,0.00003113673,0.004363381,0.00029978,0.0001309707,0.0004818334,0.0004297755,0.0001390088,0.04869616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04818558,"threshold_uncertainty_score":0.1611968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305432454238969,"score_gpt":0.3274533650310956,"score_spread":0.3043990404887059,"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."}}