{"id":"W2613135042","doi":"10.1109/ic2e.2017.21","title":"Image-Centric Social Discovery Using Neural Network under Anonymity Constraint","year":2017,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Scalability; Social media; Anonymity; Cloud computing; Timestamp; Image sharing; Image (mathematics); Outsourcing; Social network (sociolinguistics); Feature (linguistics); Constraint (computer-aided design); Scheme (mathematics); World Wide Web; Information retrieval; Artificial intelligence; Computer security; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001649429,0.0008352892,0.001704785,0.001415981,0.00160537,0.001612092,0.002773946,0.00161292,0.001128033],"category_scores_gemma":[0.004933313,0.0005430816,0.001148098,0.002019983,0.001351436,0.00378517,0.002646734,0.001220269,0.0003096578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002504428,"about_ca_system_score_gemma":0.002184754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008967587,"about_ca_topic_score_gemma":0.007678784,"domain_scores_codex":[0.9973985,0.0007065255,0.0001221617,0.0006746267,0.0007662638,0.0003319291],"domain_scores_gemma":[0.997593,0.0009924378,0.0004229554,0.0005239075,0.0003587125,0.0001089435],"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":[0.0006271544,0.0003547433,0.003917826,0.0001860959,0.0002131255,0.0004907957,0.000264333,0.6720899,0.006858317,0.05553791,0.006370747,0.253089],"study_design_scores_gemma":[0.000007107613,0.00001442557,0.0001448896,0.000002409523,0.00001083666,0.00006816326,0.00001570141,0.990884,0.00123146,0.007123428,0.0004887237,0.000008763966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04110593,0.0003718429,0.9538768,0.0006065987,0.00004965287,0.0001265452,0.0002358282,0.000745487,0.00288134],"genre_scores_gemma":[0.846253,0.0004092605,0.1455149,0.0002258297,0.0001009453,0.0001557581,0.0006815882,0.00005855201,0.006600178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008967587,"threshold_uncertainty_score":0.01817095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06355498070059265,"score_gpt":0.3128457904714278,"score_spread":0.2492908097708351,"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."}}