{"id":"W3082418808","doi":"10.3390/app10175957","title":"Trend-Based Categories Recommendations and Age-Gender Prediction for Pinterest and Twitter Users","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Universidad de Guanajuato; Consejo Nacional de Ciencia y Tecnología; University of Ottawa","keywords":"Computer science; Meaning (existential); Information retrieval; Convolutional neural network; Feature (linguistics); World Wide Web; Artificial intelligence; Psychology","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":[0.0003174999,0.00007757921,0.00008186503,0.00005212011,0.0004098782,0.0002539281,0.0002086407,0.00003173716,0.00000809809],"category_scores_gemma":[0.00002408322,0.00006546983,0.00001528242,0.0002928067,0.0001988498,0.0002337053,0.00006902817,0.00005823108,0.000002740957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007297496,"about_ca_system_score_gemma":0.00003317637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000353305,"about_ca_topic_score_gemma":0.000006037581,"domain_scores_codex":[0.9992492,0.00002170953,0.0001241938,0.0003390222,0.0001089408,0.0001569054],"domain_scores_gemma":[0.999646,0.0001245546,0.00004806988,0.00007105846,0.00001198205,0.00009834775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006850453,0.00006458812,0.01190023,0.0001397448,0.00004007842,0.00000294734,0.0282065,0.000331271,0.01576411,0.8571289,0.02081986,0.0655333],"study_design_scores_gemma":[0.003649612,0.001188298,0.02608037,0.00006165045,0.0000820965,0.00001665834,0.007264894,0.727936,0.05041564,0.0761207,0.105744,0.001440126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03281237,0.00007011265,0.9428524,0.02248779,0.0002267284,0.0002795175,0.00002180337,0.000174414,0.001074801],"genre_scores_gemma":[0.9698981,0.000006506693,0.02779283,0.00219181,0.00004177634,0.00003338836,0.00001454468,0.000002662923,0.00001836658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9370857,"threshold_uncertainty_score":0.3152493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1518274713559655,"score_gpt":0.3182906682533908,"score_spread":0.1664631968974253,"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."}}