{"id":"W2914454678","doi":"10.2298/fil1805607p","title":"Repeatable measurement of Twitter user impact NASA and the great American Eclipse of 2017","year":2018,"lang":"en","type":"article","venue":"Filomat","topic":"Communication and COVID-19 Impact","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"National Aeronautics and Space Administration","keywords":"Social media; Event (particle physics); Microblogging; Eclipse; Data science; Computer science; Frontier; World Wide Web; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.001128412,0.0000620732,0.0001686567,0.00003286623,0.0002083428,0.00002832182,0.0002967516,0.0000208669,0.0005849766],"category_scores_gemma":[0.0003781524,0.00003799649,0.00006601017,0.000170548,0.001254669,0.00009236944,0.00007839913,0.00004504244,0.00001872178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000537503,"about_ca_system_score_gemma":0.0001212858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01316841,"about_ca_topic_score_gemma":0.001956229,"domain_scores_codex":[0.9990014,0.0002739866,0.000160985,0.00008672232,0.00033484,0.0001420661],"domain_scores_gemma":[0.9989387,0.0001349361,0.0001859364,0.0005071655,0.0001719837,0.00006122846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001589664,0.0003860883,0.3411527,0.00008186066,0.0005615567,0.000002289127,0.1964878,0.000005516059,0.0066843,0.01900218,0.3941164,0.03992964],"study_design_scores_gemma":[0.002574614,0.0005039595,0.4984974,0.0001262461,0.0001155695,0.000004387137,0.01063409,0.00008198795,0.003251543,0.003477966,0.4804034,0.0003288773],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255874,0.0001746365,0.00002245122,0.003598929,0.00007579516,0.0002299945,0.000009972386,0.00001880648,0.07028209],"genre_scores_gemma":[0.9987463,0.0001272927,0.00009328367,0.0003067447,0.00010165,0.000005072934,7.812649e-7,0.000004150061,0.0006146738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1858537,"threshold_uncertainty_score":0.993403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08244636016900007,"score_gpt":0.3884368666520424,"score_spread":0.3059905064830423,"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."}}