{"id":"W2420892237","doi":"10.6084/m9.figshare.1378926.v1","title":"Proposal for Alfred P. Sloan Grant #2014-3-25 \"to support greater understanding of social media in scholarly communication and the actual meaning of various altmetrics\"","year":2015,"lang":"en","type":"article","venue":"Figshare","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal do Rio de Janeiro; Social Sciences and Humanities Research Council of Canada; European Science Foundation; Pan American Health Organization; University of California, San Diego; National Cancer Institute; National Science Foundation","keywords":"Altmetrics; Social media; Meaning (existential); Scholarly communication; Sociology; Media studies; Public relations; Library science; Psychology; Political science; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"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","bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01639766,0.001049883,0.001092778,0.00260415,0.004494322,0.008987837,0.002459206,0.007270617,0.224448],"category_scores_gemma":[0.02938508,0.0006023369,0.001158427,0.002272102,0.00247056,0.00464325,0.00794791,0.004339334,0.1620427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008319628,"about_ca_system_score_gemma":0.04860215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04532535,"about_ca_topic_score_gemma":0.06696773,"domain_scores_codex":[0.9855816,0.002557775,0.0005161308,0.000955476,0.007702164,0.002686862],"domain_scores_gemma":[0.9311238,0.003194983,0.001473413,0.002862541,0.02857869,0.03276661],"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":[0.00004439158,0.00003074898,0.0001030507,0.00002503889,0.00000273758,0.00002751283,0.00004503422,0.00001898214,0.0001119398,0.003449731,0.9889581,0.00718277],"study_design_scores_gemma":[0.0000490577,0.00006414074,0.00172856,0.00006867156,0.000006193209,0.00003489726,0.000252161,0.0001181689,0.0001528505,0.001327348,0.9961722,0.00002576928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"protocol","genre_scores_codex":[0.004511714,0.003545317,0.005229418,0.3626229,0.04870401,0.004618989,0.01535288,0.003225686,0.552189],"genre_scores_gemma":[0.009162466,0.0008887186,0.003085234,0.01295904,0.002679218,0.0007124797,0.005282033,0.0006419994,0.9645889],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.9973959,"threshold_uncertainty_score":0.7508534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1916881444653061,"score_gpt":0.3308445378944037,"score_spread":0.1391563934290976,"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."}}