{"id":"W1998753427","doi":"10.1016/j.knosys.2013.01.005","title":"An improved mix framework for opinion leader identification in online learning communities","year":2013,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":133,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Novelty; Opinion leadership; Centrality; Identification (biology); Prestige; Social media; Influencer marketing; Social network (sociolinguistics); Computer science; Sentiment analysis; Knowledge management; Public relations; Data science; Psychology; Social psychology; Political science; Marketing; World Wide Web; Artificial intelligence; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004836137,0.0002043872,0.0003515646,0.0002243304,0.000201171,0.0002361619,0.0003475101,0.00009747558,0.0000973933],"category_scores_gemma":[0.00001541956,0.0002067066,0.0001328903,0.0003074356,0.00005038103,0.0002109017,0.00003040198,0.0003433677,0.00004271161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007491554,"about_ca_system_score_gemma":0.00005009845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002739766,"about_ca_topic_score_gemma":0.0002341379,"domain_scores_codex":[0.998417,0.0003903438,0.0005535242,0.0002443935,0.00009394583,0.0003007817],"domain_scores_gemma":[0.9984233,0.0003932245,0.0002568537,0.0005529796,0.0003030203,0.00007056956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001532678,0.006428877,0.629383,0.001702644,0.0005923946,3.815401e-7,0.01678642,0.03831563,0.03474054,0.09043816,0.008234845,0.1732238],"study_design_scores_gemma":[0.0005558192,0.0001369175,0.005487474,0.0004698983,0.00002717374,1.272222e-7,0.009982378,0.9728191,0.0009510026,0.003865089,0.005325806,0.0003792343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3021016,0.000494634,0.6949422,0.00008814679,0.0004208175,0.001376411,0.00002948806,0.000228324,0.0003182867],"genre_scores_gemma":[0.9938868,0.000001686062,0.003045901,0.00000980441,0.0007726653,0.0009395867,0.001000226,0.00004332036,0.0002999798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9345034,"threshold_uncertainty_score":0.8429248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03524039814181307,"score_gpt":0.3298643976566982,"score_spread":0.2946239995148851,"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."}}