{"id":"W4311782220","doi":"10.1002/nvsm.1782","title":"Online social network fundraising: Threats and potentialities","year":2022,"lang":"en","type":"article","venue":"Journal of Philanthropy and Marketing","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Disintermediation; Intermediary; Reputation; Leverage (statistics); Business; Social media; Public relations; Intermediation; Internet privacy; Key (lock); Crowdsourcing; Marketing; Political science; Computer science; World Wide Web; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001393579,0.000143711,0.0002747824,0.0001616843,0.0009322882,0.0003094917,0.0001364434,0.00003465491,0.0001379454],"category_scores_gemma":[0.0001432609,0.0001374642,0.00008069594,0.0002372844,0.0001434375,0.0007968774,0.000419273,0.0003262195,9.200265e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002830906,"about_ca_system_score_gemma":0.00002000839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002932757,"about_ca_topic_score_gemma":0.00001465756,"domain_scores_codex":[0.9988585,0.00003646369,0.0003953053,0.0001540319,0.0002840278,0.0002717398],"domain_scores_gemma":[0.999102,0.0001141794,0.0006229326,0.00005097215,0.0000952988,0.00001464784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005169033,0.001209234,0.2363629,0.002427145,0.0007300286,0.001366827,0.001466155,0.000723735,0.003287598,0.09728228,0.1492977,0.5006774],"study_design_scores_gemma":[0.003656822,0.0002877198,0.2016613,0.0008824911,0.000439689,0.001441596,0.009228006,0.003447839,0.00003259086,0.07275853,0.7048306,0.001332734],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814197,0.004313041,0.0003169143,0.004217742,0.001109826,0.00009877027,0.0000128729,0.000041324,0.008469826],"genre_scores_gemma":[0.9955734,0.0002311694,0.0002350304,0.0006317542,0.003044305,0.000001321414,0.000006551131,0.00002264265,0.0002538432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5555329,"threshold_uncertainty_score":0.7170502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469506594011569,"score_gpt":0.2483646598388054,"score_spread":0.2236695938986897,"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."}}