{"id":"W3194800347","doi":"10.1371/journal.pone.0256204","title":"Spatial and temporal patterns in Canadian COVID-19 crowdfunding campaigns","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University; Michael Smith Health Research BC","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Metropolitan area; Sample (material); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Distribution (mathematics); Business; Socioeconomics; Demographic economics; Political science; Medicine; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001364555,0.000362161,0.0003329037,0.006366611,0.003026377,0.002265651,0.001217156,0.0006110569,0.004618505],"category_scores_gemma":[0.008278121,0.0002926161,0.0003408738,0.007324054,0.00113269,0.0007457407,0.002078561,0.0008259108,0.0004013398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02540906,"about_ca_system_score_gemma":0.02794064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9804863,"about_ca_topic_score_gemma":0.9887108,"domain_scores_codex":[0.9978943,0.0001985098,0.00008438712,0.0002641743,0.0007616903,0.0007969434],"domain_scores_gemma":[0.9912406,0.001088121,0.002049078,0.0003331895,0.003617774,0.001671258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003105715,0.0001071374,0.8737698,0.0003619389,0.0001038471,0.0004042177,0.03652265,0.0006713222,0.001225755,0.003239466,0.02021998,0.06306348],"study_design_scores_gemma":[0.000004321667,0.00002353993,0.9655673,0.0001097193,0.00001638489,0.00005308166,0.01716276,0.000445147,0.0001503417,0.00007258157,0.01636021,0.00003464587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9602011,0.001367887,0.0006222443,0.001929228,0.00005140281,0.0002394392,0.01490411,0.00009008956,0.02059455],"genre_scores_gemma":[0.9917847,0.0007283938,0.0006050542,0.0001558944,0.00001744895,0.0001060265,0.002275968,0.00002263277,0.004303769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02540906,"threshold_uncertainty_score":0.1843565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0546933841189627,"score_gpt":0.2337783352653446,"score_spread":0.1790849511463819,"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."}}