{"id":"W3036469117","doi":"10.1007/978-3-030-51310-8_21","title":"Towards Explainability in Using Deep Learning for the Detection of Anorexia in Social Media","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Topic Modeling","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Anorexia; Artificial intelligence; Human–computer interaction; Multimedia; Medicine","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":[0.001985162,0.000811497,0.0005638177,0.001105138,0.0003142501,0.00149825,0.0008530436,0.001473896,0.00248362],"category_scores_gemma":[0.007715069,0.0003522027,0.0008863508,0.000645346,0.0005038379,0.002146852,0.001450716,0.002065349,0.0007459554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005239882,"about_ca_system_score_gemma":0.0005146347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003020763,"about_ca_topic_score_gemma":0.003079847,"domain_scores_codex":[0.9993598,0.0002779965,0.00003116507,0.0001688023,0.00007690189,0.00008520247],"domain_scores_gemma":[0.9953498,0.003739693,0.0002480644,0.0002818561,0.0002563954,0.0001241541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001101735,0.0006802894,0.04590533,0.0004644025,0.0005370425,0.0004382252,0.0009915703,0.09426763,0.02290608,0.01776818,0.01550157,0.7994379],"study_design_scores_gemma":[0.00002637646,0.0001176812,0.008607811,0.0000581707,0.00007224204,0.0001241833,0.0001107908,0.9626081,0.003210998,0.02308612,0.001957634,0.00001984802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2423463,0.00359617,0.7409752,0.003864531,0.0003290449,0.0001517648,0.001635508,0.002387358,0.004714106],"genre_scores_gemma":[0.8897305,0.001042265,0.1012274,0.0005188136,0.0004304188,0.0001382608,0.002549599,0.000142473,0.004220401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003020763,"threshold_uncertainty_score":0.01049864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04121807602272296,"score_gpt":0.2719456405220981,"score_spread":0.2307275644993752,"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."}}