{"id":"W4289522698","doi":"10.3390/healthcare10081451","title":"Use of Netnography to Understand GoFundMe® Crowdfunding Profiles Posted for Individuals and Families of Children with Osteogenesis Imperfecta","year":2022,"lang":"en","type":"article","venue":"Healthcare","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Shriners Hospitals for Children - Canada","funders":"","keywords":"Osteogenesis imperfecta; Netnography; Social media; Business; Marketing; Internet privacy; Variety (cybernetics); Psychology; Medicine; Public relations; Advertising; Political science; World Wide Web; Computer science","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":[0.0004829443,0.0004491825,0.0002627714,0.005922105,0.0004286179,0.001336736,0.0002354274,0.0006169125,0.004629604],"category_scores_gemma":[0.005540135,0.0001026013,0.0002860602,0.003279942,0.0001574762,0.001639728,0.0009446362,0.0003780448,0.002340201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004874962,"about_ca_system_score_gemma":0.0003427285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008122112,"about_ca_topic_score_gemma":0.02147349,"domain_scores_codex":[0.9995049,0.0001556849,0.00006164145,0.0001112445,0.0001060509,0.00006048385],"domain_scores_gemma":[0.9954196,0.002394008,0.001193955,0.0002784217,0.0004404649,0.0002735372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005648049,0.0003468108,0.757471,0.001791447,0.0001558974,0.001550383,0.006955224,0.00118845,0.002535432,0.002030259,0.1023142,0.1230961],"study_design_scores_gemma":[0.00002359235,0.0001062422,0.8311086,0.0007129476,0.00008916968,0.001115539,0.009300085,0.01220637,0.0013552,0.001904815,0.1419991,0.00007834063],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7567248,0.001506149,0.002575928,0.001021158,0.0001234201,0.0002088448,0.2214742,0.0008772979,0.01548815],"genre_scores_gemma":[0.698897,0.001156654,0.0115521,0.0003739033,0.0001707035,0.000535676,0.2781938,0.0002196411,0.008900454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008122112,"threshold_uncertainty_score":0.0161497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04263257783625656,"score_gpt":0.3133142760156368,"score_spread":0.2706816981793802,"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."}}