{"id":"W2897678974","doi":"10.6084/m9.figshare.7184894.v1","title":"How to use social media engagement to ensure research's real-world impact","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Data science; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004804519,0.001360679,0.0009738207,0.004674252,0.001258169,0.004466673,0.00210966,0.001389421,0.07793552],"category_scores_gemma":[0.02821496,0.0007368381,0.001227829,0.006530771,0.0005368661,0.002842565,0.004072195,0.00224746,0.09040102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002270017,"about_ca_system_score_gemma":0.00402776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0383615,"about_ca_topic_score_gemma":0.1356917,"domain_scores_codex":[0.9972526,0.0007293533,0.0005134392,0.0004930937,0.000724323,0.0002871401],"domain_scores_gemma":[0.9869217,0.004802776,0.001425617,0.002672184,0.003004597,0.001173262],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002117014,0.000005099551,0.0007789942,0.0004556623,0.00001237864,0.000004952965,0.0000183153,0.00006559638,0.00003820242,0.0003472407,0.9956831,0.002569291],"study_design_scores_gemma":[0.0001061816,0.00001073599,0.006205136,0.000707373,0.0000263763,0.00001779632,0.0001306478,0.0002921219,0.0002249216,0.001722247,0.9905262,0.000030376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001001991,0.00007467692,0.0001555484,0.0003601601,0.00007959042,0.00004578564,0.9972315,0.0004294452,0.001523212],"genre_scores_gemma":[0.0006329268,0.0001129371,0.001210873,0.00015278,0.00002714844,0.0004154649,0.9958202,0.0001410701,0.001486623],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9951955,"threshold_uncertainty_score":0.2607203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6101360369528186,"score_gpt":0.5579915911340003,"score_spread":0.05214444581881827,"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."}}