{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000381073,0.0006399058,0.0003497886,0.003276586,0.0003218754,0.0004729403,0.0005030137,0.0006549016,0.002047652],"category_scores_gemma":[0.002398628,0.000122891,0.0004327649,0.001368531,0.00009264172,0.0009122685,0.0003478517,0.000358055,0.00178207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003844242,"about_ca_system_score_gemma":0.0003182676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01264473,"about_ca_topic_score_gemma":0.02745325,"domain_scores_codex":[0.9997076,0.00003630652,0.00002336122,0.00009110047,0.00007943909,0.00006210178],"domain_scores_gemma":[0.9991934,0.0002299908,0.0001281273,0.00007147998,0.0002740941,0.0001029402],"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":[0.001168126,0.0005216954,0.6567886,0.0002419418,0.0001194029,0.0006328474,0.0004335891,0.01186386,0.007291048,0.0008368336,0.0202019,0.2999002],"study_design_scores_gemma":[0.00002743806,0.0003015924,0.3179926,0.00007166133,0.0001026869,0.0006409444,0.001014227,0.6583746,0.008914495,0.00167091,0.01082381,0.00006495968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598178,0.0009058562,0.01860781,0.0004586065,0.0001557332,0.0001367205,0.0142083,0.0009918049,0.004717338],"genre_scores_gemma":[0.964763,0.0003395826,0.01691328,0.00004973596,0.00007920226,0.0000755638,0.01412062,0.00003392144,0.003625006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01264473,"threshold_uncertainty_score":0.02514225,"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."}}