{"id":"W3140072468","doi":"10.1007/s11764-021-01034-6","title":"Developing a global cancer survivorship community: the Journal of Cancer Survivorship Social Media Site @jcansurv","year":2021,"lang":"en","type":"editorial","venue":"Journal of Cancer Survivorship","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Center for Advancing Translational Sciences","keywords":"Cancer survivorship; Survivorship curve; Public health; Health informatics; Cancer; Medicine; Cancer imaging; Gerontology; Nursing; Internal medicine","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":[0.01202068,0.005862114,0.005291108,0.005468045,0.006408468,0.01560454,0.005119402,0.02633377,0.03332504],"category_scores_gemma":[0.03305429,0.001743966,0.003946349,0.002336977,0.002886944,0.006811692,0.003372789,0.02734568,0.01588116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004942408,"about_ca_system_score_gemma":0.006824359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004602277,"about_ca_topic_score_gemma":0.01556752,"domain_scores_codex":[0.991837,0.001383766,0.0007444191,0.0007118206,0.004687224,0.0006358106],"domain_scores_gemma":[0.9603635,0.01497773,0.001545623,0.0008003204,0.01185243,0.01046034],"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":[0.00001941765,0.00001612598,0.00002582238,0.0001425447,0.00001422212,0.00005635508,0.00001574116,0.000008663639,0.00001991165,0.000161357,0.9965577,0.002962074],"study_design_scores_gemma":[0.0001570466,0.00006469237,0.0005568757,0.001025614,0.0001078713,0.0001721299,0.0001870059,0.0001732979,0.00007692652,0.0009417903,0.9964998,0.00003693172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002456112,0.00233872,0.00004043115,0.02983865,0.9660474,0.00002320685,0.00003194045,0.00004098917,0.001614194],"genre_scores_gemma":[0.0002929914,0.002843541,0.00004920569,0.01488998,0.9734212,0.00002833535,0.00002653668,0.00003727608,0.008410883],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03332504,"threshold_uncertainty_score":0.1114834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1596916044182559,"score_gpt":0.4544290617477506,"score_spread":0.2947374573294946,"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."}}