{"id":"W2983854420","doi":"10.1093/neuonc/noz175.315","title":"EPID-15. GUIDELINES FOR THE OPTIMAL USE OF SOCIAL MEDIA FOR NEURO-ONCOLOGISTS","year":2019,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Theme (computing); Social media; Empowerment; Psychology; Medicine; Computer science; World Wide Web; Political 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":[0.08004089,0.001462819,0.002911825,0.01407976,0.001568446,0.005051567,0.006060454,0.005189708,0.03353668],"category_scores_gemma":[0.1386435,0.002217339,0.006847895,0.009136971,0.001510244,0.005546704,0.008266788,0.004795877,0.02370654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005665262,"about_ca_system_score_gemma":0.02269821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008478778,"about_ca_topic_score_gemma":0.01160549,"domain_scores_codex":[0.9291682,0.03137468,0.0283494,0.001131646,0.007445348,0.002530646],"domain_scores_gemma":[0.8210592,0.0865254,0.02438841,0.00531497,0.05571662,0.006995371],"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":[0.000710378,0.0008438664,0.01451951,0.04311407,0.0002536978,0.0003814473,0.002850412,0.0008981492,0.0007920389,0.006476482,0.4898885,0.4392715],"study_design_scores_gemma":[0.00125485,0.0006039079,0.04612343,0.06978171,0.0003540443,0.0004269454,0.002625849,0.001029828,0.001541851,0.007630078,0.8683648,0.0002627383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.02024569,0.04753504,0.07978587,0.1054393,0.006671833,0.2097059,0.303409,0.01319216,0.2140153],"genre_scores_gemma":[0.03407941,0.0310614,0.5004085,0.01710564,0.0009953295,0.2778775,0.1006141,0.001731213,0.03612703],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.08004089,"threshold_uncertainty_score":0.4233018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3467893232980945,"score_gpt":0.4927808151997976,"score_spread":0.145991491901703,"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."}}