{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002131423,0.0001784037,0.0005284459,0.00009817932,0.0006674096,0.00003781328,0.0005901975,0.0004602018,0.0001568192],"category_scores_gemma":[0.08797888,0.0001511097,0.0002319992,0.0003467794,0.0007057958,0.0002018804,0.0000769966,0.0002602554,0.00003076891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003659221,"about_ca_system_score_gemma":0.00227057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007195627,"about_ca_topic_score_gemma":0.002172841,"domain_scores_codex":[0.9970273,0.0007053955,0.0007622454,0.0004203772,0.0003952715,0.0006893884],"domain_scores_gemma":[0.9168429,0.0809125,0.0006121016,0.0002535527,0.001229793,0.0001491799],"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":[0.001321467,0.0005619325,0.01114742,0.0002225939,0.00008616522,0.000004082515,0.1002731,0.0003314535,0.01559265,0.04615401,0.4869416,0.3373636],"study_design_scores_gemma":[0.0008878642,0.0005505522,0.003511314,0.00000481577,0.00006690241,0.000001429566,0.004744154,0.000352157,0.0003847832,0.000583326,0.9887757,0.0001370331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6103436,0.0002859081,0.001709902,0.305604,0.06710407,0.01354073,0.000186239,0.000214993,0.001010509],"genre_scores_gemma":[0.8669207,0.001172506,0.03841436,0.04446346,0.03411194,0.01426167,0.000113106,0.0002321205,0.000310132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5018341,"threshold_uncertainty_score":0.9197035,"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."}}