{"id":"W3097365712","doi":"10.5210/fm.v25i11.10869","title":"Crowdfunding during COVID-19: An international comparison of online fundraising","year":2020,"lang":"en","type":"article","venue":"First Monday","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Business; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Sample (material); Microfinance; Marketing; Public relations; Political science; Economics; Economic growth","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":[0.005464585,0.000342276,0.0003369918,0.007285386,0.001861841,0.00339824,0.0005614761,0.0008563587,0.003398496],"category_scores_gemma":[0.02709618,0.0001530975,0.0003251437,0.006022043,0.001493097,0.003284609,0.002894015,0.001106092,0.0007203906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137404,"about_ca_system_score_gemma":0.001297254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007230778,"about_ca_topic_score_gemma":0.00867303,"domain_scores_codex":[0.9953555,0.001724454,0.0003992509,0.0004668058,0.001142625,0.0009113615],"domain_scores_gemma":[0.9614331,0.01521573,0.01313997,0.002009345,0.005212371,0.00298937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001100739,0.001234805,0.7063887,0.0007395507,0.0001592633,0.0009432914,0.1222725,0.001000539,0.001638329,0.009249473,0.01444753,0.1408254],"study_design_scores_gemma":[0.00002020323,0.0003279892,0.8505483,0.0003493783,0.00003489837,0.0003906709,0.1051013,0.0005390964,0.0010555,0.0007982586,0.04077201,0.00006236252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697346,0.0005720077,0.0007899152,0.0005188123,0.00005647436,0.0003181918,0.002599173,0.00003720143,0.02537357],"genre_scores_gemma":[0.9929234,0.0004551905,0.0007891366,0.0001958327,0.00009236685,0.0003160593,0.001861728,0.00003806806,0.00332821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007285386,"threshold_uncertainty_score":0.02889985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07300319674558811,"score_gpt":0.3151199217948347,"score_spread":0.2421167250492466,"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."}}