{"id":"W4244620110","doi":"10.1504/ijcse.2017.087405","title":"Analysing user retweeting behaviour on microblogs: prediction model and influencing features","year":2017,"lang":"en","type":"article","venue":"International Journal of Computational Science and Engineering","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Microblogging; Dimension (graph theory); Social media; Ranking (information retrieval); Computer science; Similarity (geometry); Support vector machine; Rank (graph theory); Recall rate; Artificial intelligence; Information retrieval; Mathematics; World Wide Web","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":[0.0008329421,0.00007973125,0.0001034858,0.0003324676,0.0002773483,0.0009233744,0.0006807059,0.00002659208,2.677712e-7],"category_scores_gemma":[0.0001561144,0.00006926631,0.00002928755,0.00007149796,0.00006217218,0.001562076,0.0001855314,0.0001360291,1.544364e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008324593,"about_ca_system_score_gemma":0.00007945611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001774462,"about_ca_topic_score_gemma":0.000001071474,"domain_scores_codex":[0.9988803,0.00000711446,0.000248569,0.0001555859,0.0005982044,0.0001102015],"domain_scores_gemma":[0.9989821,0.00005130525,0.0002653537,0.0001027214,0.0005219016,0.00007661968],"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":[0.00001467679,0.00004343368,0.02577992,0.00001690445,0.00009897668,0.00005244048,0.002031296,0.8645697,0.01976294,0.04733735,0.0003177772,0.0399746],"study_design_scores_gemma":[0.0002395105,0.00005621935,0.2109509,0.0002403736,0.000007009462,0.0003489641,0.00003536179,0.7832138,0.001312798,0.003392501,0.0000913093,0.0001113105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6934635,0.00005083625,0.3049797,0.0009176799,0.0003766543,0.00002993414,0.000001590675,0.00002240207,0.0001576809],"genre_scores_gemma":[0.9405702,0.0000161561,0.05921644,0.00008325673,0.0001022865,7.272662e-7,2.964719e-7,0.000003264531,0.00000740635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2471067,"threshold_uncertainty_score":0.890412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208203371226911,"score_gpt":0.270627871805714,"score_spread":0.2585458380934449,"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."}}