{"id":"W6977364024","doi":"10.6084/m9.figshare.c.3882952","title":"Applications of altmetrics for Canadian institutions","year":2017,"lang":"en","type":"other","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Altmetrics; Social media; Citizen science; Field (mathematics)","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","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003622733,0.001209181,0.0005245681,0.0123013,0.005756809,0.006413826,0.001797913,0.001233105,0.2549112],"category_scores_gemma":[0.01452478,0.0006361909,0.000904992,0.02517071,0.00143505,0.003827915,0.003745684,0.001901325,0.08507334],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02883196,"about_ca_system_score_gemma":0.05877599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9317291,"about_ca_topic_score_gemma":0.9694288,"domain_scores_codex":[0.9953043,0.0002156306,0.0001276235,0.0002055022,0.003639878,0.0005070001],"domain_scores_gemma":[0.9826985,0.00110806,0.0003595514,0.0009395785,0.0128289,0.002065467],"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":[0.000006195804,0.00000448798,0.0003907239,0.00004823864,0.000001767853,0.0000215355,0.0001190413,0.0000840111,0.00006836285,0.003260473,0.9647974,0.03119774],"study_design_scores_gemma":[0.000001652165,0.000001215687,0.001931877,0.00008034997,0.000001623657,0.00001983503,0.0001986901,0.0001164113,0.0000830978,0.0007110722,0.9968392,0.00001505384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001475388,0.002966296,0.006101785,0.01481149,0.002344183,0.0003538299,0.1327853,0.01007715,0.8290846],"genre_scores_gemma":[0.02555823,0.01229124,0.03012831,0.003062654,0.001417981,0.0003908977,0.0995508,0.009157528,0.8184423],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9963773,"threshold_uncertainty_score":0.8527629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04454112022989597,"score_gpt":0.2639818741963381,"score_spread":0.2194407539664421,"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."}}