{"id":"W4310947449","doi":"10.2196/42245","title":"How TikTok Is Being Used to Help Individuals Cope With Breast Cancer: Cross-sectional Content Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Content analysis; Coping (psychology); Breast cancer awareness; Social support; Cross-sectional study; Popularity; Medicine; Social media; Cancer; Psychology; Family medicine; Clinical psychology; Social psychology; Internal medicine; Pathology; Computer science; World Wide Web","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":[0.005557789,0.0001764133,0.0002812181,0.002801553,0.0007670445,0.001229508,0.000381067,0.0003657261,0.001555346],"category_scores_gemma":[0.02103352,0.0003000534,0.0005489248,0.002177704,0.0006063929,0.001520506,0.001376513,0.0005268601,0.0002027374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156298,"about_ca_system_score_gemma":0.001224332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005698483,"about_ca_topic_score_gemma":0.01024359,"domain_scores_codex":[0.9983494,0.0007395374,0.0002573764,0.0001731313,0.0002987709,0.0001817272],"domain_scores_gemma":[0.9856252,0.006945736,0.003730834,0.0004184534,0.00276727,0.0005124364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001946294,0.0002535125,0.9309019,0.0006867748,0.0001432153,0.0001203019,0.04384336,0.00007588356,0.0007372285,0.0001435622,0.0009904552,0.02190915],"study_design_scores_gemma":[0.00001156425,0.0002236316,0.950847,0.0003042211,0.00009598767,0.0001867174,0.04516697,0.0003422473,0.0003363825,0.00005924252,0.002406644,0.00001944675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974437,0.0001838482,0.0002673427,0.00008946186,0.00000768829,0.0003708221,0.0008280532,0.000005256882,0.0008039414],"genre_scores_gemma":[0.9944864,0.0005462663,0.001736791,0.000108158,0.00001570106,0.001161655,0.001479752,0.00001007062,0.0004552015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005698483,"threshold_uncertainty_score":0.02939278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1558125607857403,"score_gpt":0.4401848720767463,"score_spread":0.284372311291006,"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."}}