{"id":"W2006185078","doi":"10.1371/journal.pone.0106086","title":"Astrophysicists’ Conversational Connections on Twitter","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Economic and Social Research Council; Joint Information Systems Committee; Arts and Humanities Research Council; National Science Foundation","keywords":"Affordance; Altmetrics; Social media; Terminology; World Wide Web; Publishing; Variety (cybernetics); Microblogging; Computer science; Psychology; Linguistics; Human–computer interaction; Political science","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0009243177,0.0002428336,0.0002814506,0.002478735,0.0009349314,0.001537315,0.0002180996,0.00039639,0.003695415],"category_scores_gemma":[0.007922587,0.0001608124,0.000226715,0.002422354,0.0003581584,0.002397954,0.001541757,0.0004624865,0.00103024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004521654,"about_ca_system_score_gemma":0.0002462446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002417374,"about_ca_topic_score_gemma":0.003863157,"domain_scores_codex":[0.9989144,0.0004863226,0.00007510051,0.0001895084,0.0002324258,0.0001022905],"domain_scores_gemma":[0.9951532,0.003200516,0.0008374848,0.0002146922,0.0003568902,0.0002372572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001125894,0.0001719474,0.6200688,0.0008508859,0.0002324433,0.001385898,0.1642448,0.002304832,0.0332129,0.007840055,0.006541288,0.1620202],"study_design_scores_gemma":[0.00002485588,0.000210536,0.8216482,0.0002155579,0.0001181815,0.0008677486,0.08712682,0.02518292,0.007081391,0.005802622,0.05156977,0.0001512999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854117,0.0001670684,0.00338613,0.00036921,0.00002614614,0.00006657595,0.0016641,0.0000946875,0.008814238],"genre_scores_gemma":[0.9945543,0.0001493809,0.002205722,0.00004717102,0.00003111772,0.00009291044,0.0008435355,0.00002838027,0.002047474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9975213,"threshold_uncertainty_score":0.01236242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03500668078735206,"score_gpt":0.2342202802654557,"score_spread":0.1992135994781037,"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."}}