{"id":"W4399117153","doi":"10.2196/55797","title":"Japanese Perception of Organ Donation and Implications for New Medical Technologies: Quantitative and Qualitative Social Media Analyses","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organ donation; Perception; Social media; Qualitative research; Qualitative analysis; Internet privacy; Psychology; Donation; Social psychology; Data science; Sociology; Medicine; Computer science; Political science; Transplantation; Social science; World Wide Web; Law; Neuroscience","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":[0.007105967,0.0003461553,0.0004663579,0.002689595,0.003121599,0.002531857,0.0005210998,0.0007010077,0.001732395],"category_scores_gemma":[0.01572161,0.0003319792,0.0004518681,0.002430706,0.002783776,0.00246389,0.003637172,0.0008344619,0.0001732049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002634782,"about_ca_system_score_gemma":0.002378712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01318982,"about_ca_topic_score_gemma":0.01337269,"domain_scores_codex":[0.9969325,0.001641667,0.000249784,0.0002260348,0.0004692675,0.0004805892],"domain_scores_gemma":[0.9877434,0.007223583,0.001867765,0.0002945186,0.002053795,0.0008170352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000978513,0.0001288134,0.1267247,0.0003995544,0.00002535588,0.0005628435,0.8596852,0.00005556672,0.001713385,0.0005141211,0.0005278206,0.009564769],"study_design_scores_gemma":[0.000004096128,0.00006497712,0.07054652,0.00008869674,0.00001875706,0.00008464276,0.9270596,0.0001538898,0.000248643,0.0001041,0.001605326,0.00002077804],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982187,0.00009283528,0.0002191331,0.0002532109,0.000007460681,0.00005203631,0.00009843493,0.000002551485,0.001055526],"genre_scores_gemma":[0.9985086,0.0002352793,0.0002606324,0.0001732189,0.00001392893,0.0001899609,0.00009327292,0.000006259358,0.0005188552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01318982,"threshold_uncertainty_score":0.03758037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2232836012203416,"score_gpt":0.5627051467678504,"score_spread":0.3394215455475089,"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."}}