{"id":"W4389913254","doi":"10.1108/ejm-05-2022-0364","title":"Social media and nonprofit fundraising: the influence of Facebook likes","year":2023,"lang":"en","type":"article","venue":"European Journal of Marketing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Bidding; Affect (linguistics); Donation; Social media; Nonprofit organization; Business; Social distance; Advertising; Marketing; Psychology; Public relations; Economics; Political science; Coronavirus disease 2019 (COVID-19)","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":[0.002151295,0.0003091239,0.0002734381,0.001026383,0.001219286,0.004747331,0.0004098862,0.0006244958,0.006370741],"category_scores_gemma":[0.01677081,0.0001800354,0.000355606,0.0007134342,0.001343859,0.001903285,0.001578159,0.001039992,0.0004040924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007751705,"about_ca_system_score_gemma":0.0006694675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072984,"about_ca_topic_score_gemma":0.002782103,"domain_scores_codex":[0.9975014,0.001540841,0.00007948391,0.0002294376,0.0003605668,0.0002883548],"domain_scores_gemma":[0.9654974,0.01940776,0.00935502,0.001525289,0.001136067,0.003078434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007046765,0.002503442,0.9002398,0.0003368886,0.0003123779,0.0004860529,0.01551926,0.0004274014,0.001668269,0.005950394,0.001405746,0.07044583],"study_design_scores_gemma":[0.00003508537,0.0004833188,0.9702656,0.0002411238,0.0001765454,0.0002351203,0.01941557,0.001005079,0.0007762446,0.002619935,0.004702087,0.00004417746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834971,0.0003171701,0.0002233323,0.0006115416,0.00003161477,0.0000386792,0.00006146613,0.000008561291,0.0152105],"genre_scores_gemma":[0.9989024,0.0001223005,0.0001225351,0.00007919478,0.00002504585,0.0000174085,0.0000203869,0.000004019465,0.0007067202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006370741,"threshold_uncertainty_score":0.0213123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03702065024983389,"score_gpt":0.2897680008384984,"score_spread":0.2527473505886645,"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."}}