{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007476642,0.000212285,0.0002037585,0.001826495,0.0007077104,0.001243941,0.0002580628,0.0005848656,0.002752357],"category_scores_gemma":[0.01000743,0.00009934713,0.0001352621,0.002562266,0.0004204177,0.001563504,0.001243546,0.0005806128,0.001255914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005114624,"about_ca_system_score_gemma":0.0002396409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005683778,"about_ca_topic_score_gemma":0.007906337,"domain_scores_codex":[0.9991766,0.0001950925,0.00005781471,0.0001082464,0.0003629483,0.00009936194],"domain_scores_gemma":[0.9935955,0.002594044,0.001529613,0.0004601051,0.00141326,0.0004074135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005540329,0.0001703159,0.9118841,0.0002215748,0.0001035531,0.0003405572,0.009455283,0.001157596,0.006009616,0.003771331,0.01471553,0.05161649],"study_design_scores_gemma":[0.000006770162,0.0001159768,0.9724007,0.0000491556,0.00002710181,0.0001626002,0.007765817,0.003987094,0.002399547,0.0008076116,0.01224301,0.0000346386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738913,0.0001427205,0.0008884931,0.0006625687,0.00008344571,0.00004918262,0.006283314,0.00007147258,0.0179274],"genre_scores_gemma":[0.9950022,0.0001201486,0.0004669446,0.00007485655,0.00009090493,0.0000591848,0.002577876,0.00001792922,0.001590046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005683778,"threshold_uncertainty_score":0.0113014,"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."}}