{"id":"W2031450031","doi":"10.1016/j.eswa.2014.11.067","title":"A new model to quantify the impact of a topic in a location over time with Social Media","year":2014,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Badan Riset dan Inovasi Nasional; McGill University","keywords":"Computer science; Social media; Data science; Set (abstract data type); Component (thermodynamics); Doors; Social network (sociolinguistics); Mobile device; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002163202,0.001067724,0.0010037,0.002309754,0.0005967421,0.002030325,0.00255344,0.002748933,0.004591213],"category_scores_gemma":[0.009134511,0.0006038976,0.000942748,0.00214777,0.001135148,0.005331682,0.001263606,0.001769903,0.001097116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615022,"about_ca_system_score_gemma":0.000942136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034027,"about_ca_topic_score_gemma":0.01091902,"domain_scores_codex":[0.9990339,0.0002942364,0.00003827101,0.0003257158,0.000185605,0.0001223654],"domain_scores_gemma":[0.9951162,0.003459338,0.0005341817,0.0002055398,0.0004700866,0.000214551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001394244,0.0001960464,0.006601434,0.0001596307,0.0001677079,0.0002340473,0.0002932351,0.8922202,0.002498407,0.06361211,0.005090771,0.02878699],"study_design_scores_gemma":[0.000007956797,0.00001928878,0.0004887243,0.000007394762,0.00002886546,0.00003832686,0.00002062443,0.9877464,0.0001197924,0.01071143,0.0008021533,0.000009055881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05480289,0.0006684736,0.9350263,0.002036495,0.0002699134,0.0001241334,0.001245102,0.0002916004,0.005535149],"genre_scores_gemma":[0.8876222,0.001326849,0.08316851,0.0004905349,0.0006926511,0.0006408553,0.001233119,0.0001537905,0.02467151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01034027,"threshold_uncertainty_score":0.02056015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148253040502878,"score_gpt":0.2994996930960213,"score_spread":0.2846743890457334,"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."}}