{"id":"W3092626262","doi":"10.1093/eurpub/ckaa165.244","title":"Crowdfunding for medical expenses in the United Kingdom","year":2020,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Quarter (Canadian coin); Business; Empowerment; Medicine; Sample (material); Public relations; Family medicine; Economic growth; Political science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01197806,0.0001485253,0.0002765041,0.0004554063,0.0001745668,0.0006529955,0.0009262862,0.00002395143,0.00007821754],"category_scores_gemma":[0.005848892,0.0001058819,0.000114122,0.001201109,0.00007131875,0.001160982,0.0001401832,0.0004597215,0.00006192407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006006078,"about_ca_system_score_gemma":0.000213894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005403055,"about_ca_topic_score_gemma":0.0000152974,"domain_scores_codex":[0.997503,0.0003104818,0.0009096688,0.0001778651,0.0005948457,0.0005041629],"domain_scores_gemma":[0.9985092,0.0002306042,0.0008271183,0.0001248174,0.0002123152,0.0000960031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001609405,0.0006287592,0.0314314,0.001408008,0.00009445088,0.00159475,0.004745475,0.00008412579,0.0001038341,0.3210889,0.3843281,0.2543313],"study_design_scores_gemma":[0.001116251,0.0001531367,0.01313534,0.0002100425,0.00000432631,0.00005029373,0.0008606347,0.001155939,0.000002120238,0.0002205643,0.9829537,0.0001376911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5147561,0.0002360806,0.124272,0.3433881,0.000843768,0.0004733234,0.000004493392,0.00009660682,0.01592948],"genre_scores_gemma":[0.9563624,0.00001322904,0.0003221825,0.04104137,0.002194144,0.000001736438,0.000008703702,0.00003933244,0.00001690001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5986256,"threshold_uncertainty_score":0.7002092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2177652177883504,"score_gpt":0.3250775239105937,"score_spread":0.1073123061222433,"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."}}