{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006195488,0.000913649,0.000439056,0.004696622,0.002622087,0.0044558,0.001126769,0.002015327,0.02049754],"category_scores_gemma":[0.02774672,0.0003375259,0.0007383424,0.004342858,0.001289969,0.004506668,0.007075263,0.001159881,0.007506246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231633,"about_ca_system_score_gemma":0.002648036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002779751,"about_ca_topic_score_gemma":0.002816722,"domain_scores_codex":[0.9932256,0.003239499,0.0002790632,0.0006135771,0.002105968,0.0005362238],"domain_scores_gemma":[0.9781708,0.01252728,0.002096639,0.003874694,0.001954042,0.001376609],"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":[0.000517961,0.000413213,0.009502385,0.001397071,0.0001859091,0.0009797335,0.00752819,0.01142224,0.005197281,0.1280621,0.1878972,0.6468969],"study_design_scores_gemma":[0.0002478575,0.0002455729,0.007329288,0.0008015563,0.00007574019,0.0003758488,0.004755041,0.02983757,0.004577023,0.1581466,0.7934288,0.0001791012],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.109833,0.004665818,0.3164565,0.0251964,0.003119298,0.004971078,0.01079849,0.01061656,0.5143428],"genre_scores_gemma":[0.7328172,0.004709132,0.146164,0.002692995,0.003852936,0.005499371,0.006663746,0.001134982,0.09646554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02049754,"threshold_uncertainty_score":0.06857109,"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."}}