{"id":"W4413502167","doi":"10.64628/aam.wdw9343gn","title":"Finding community online after finding a lump: Social media and younger adults with cancer","year":2022,"lang":"en","type":"article","venue":"","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Roads University","funders":"","keywords":"Social media; Cancer; Online community; Demography; Psychology; Medicine; Sociology; Computer science; Internal medicine; World Wide Web","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":[0.001027184,0.0002691223,0.0004941457,0.001465003,0.001951324,0.002819446,0.0005611663,0.001717488,0.009908733],"category_scores_gemma":[0.009566635,0.0004469527,0.0008962243,0.001387995,0.0006687402,0.003626507,0.001725346,0.002573329,0.0007509445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009574991,"about_ca_system_score_gemma":0.001297639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04031662,"about_ca_topic_score_gemma":0.08223179,"domain_scores_codex":[0.9992073,0.0001633146,0.0001011644,0.000103397,0.0002077827,0.0002171387],"domain_scores_gemma":[0.9929379,0.00152586,0.002645944,0.0001415662,0.0006401922,0.002108551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008331397,0.0005632528,0.9823474,0.00006939124,0.00006614088,0.0002325372,0.005917911,0.00001526194,0.00009183084,0.00005986339,0.0009804752,0.009572676],"study_design_scores_gemma":[0.00001530715,0.0002390387,0.9569803,0.0001616634,0.0001095529,0.0003527286,0.04007172,0.0001210486,0.00006432088,0.0001540113,0.001708241,0.00002211851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933281,0.0009931816,0.0000254277,0.0018435,0.00008008735,0.00003641475,0.0003388537,0.000003662628,0.003350928],"genre_scores_gemma":[0.9942085,0.001553013,0.0000793437,0.0008488199,0.000133522,0.00002867905,0.0002877476,0.000005736566,0.002854663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04031662,"threshold_uncertainty_score":0.0801639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1285417796723798,"score_gpt":0.4084562983544202,"score_spread":0.2799145186820403,"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."}}