{"id":"W4387384027","doi":"10.48083/rvjx1845","title":"Crowdsource Funding via Social Media Platforms","year":2023,"lang":"en","type":"article","venue":"Société Internationale d’Urologie Journal","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crowdsourcing; Social media; Public funding; Business; Social innovation; Public engagement; Public relations; Seed money; Knowledge management; Political science; Computer science; Finance; World Wide Web; Public administration","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009827699,0.0002867825,0.0003119294,0.0007415576,0.0006885118,0.0009047861,0.0008655987,0.0001933644,0.0009246878],"category_scores_gemma":[0.001444701,0.0002670458,0.0003241276,0.0008233516,0.0001631481,0.002335827,0.00051443,0.0007511549,0.001664152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002265528,"about_ca_system_score_gemma":0.00005020163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001434559,"about_ca_topic_score_gemma":0.00002554552,"domain_scores_codex":[0.9975449,0.000008279168,0.0005829901,0.0003412034,0.0008112586,0.0007114045],"domain_scores_gemma":[0.9985178,0.0003401895,0.0006401836,0.0001291617,0.0003408561,0.00003180113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004781521,0.0003533444,0.1867292,0.0002015855,0.0006436517,0.0009856912,0.001415452,0.0009368949,0.003140511,0.2078221,0.4470699,0.1502235],"study_design_scores_gemma":[0.002467092,0.00004664107,0.2573515,0.0001075932,0.00008591803,0.0002310818,0.002078284,0.009997529,0.0002119784,0.3692909,0.3570147,0.001116905],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316865,0.00007447213,0.003249915,0.003959046,0.00459247,0.0001492003,0.00001625617,0.0006875667,0.05558464],"genre_scores_gemma":[0.9890108,0.00003181702,0.00009758758,0.001769426,0.006434196,0.00001861978,0.000105167,0.00004958205,0.002482864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1614687,"threshold_uncertainty_score":0.9999886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07538747812225828,"score_gpt":0.2863212377909731,"score_spread":0.2109337596687148,"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."}}