{"id":"W2116959421","doi":"10.1145/2684822.2685291","title":"FLAME","year":2015,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Sentiment analysis; Collaborative filtering; Probabilistic logic; Set (abstract data type); Task (project management); Topic model; Data science; Artificial intelligence; Information retrieval; Recommender system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001234585,0.001005496,0.0005909306,0.001871363,0.0005543214,0.002502971,0.00162689,0.001037866,0.05348809],"category_scores_gemma":[0.005930321,0.0005242934,0.0008945466,0.001406611,0.000254177,0.002759741,0.001396921,0.0009223709,0.05848739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007098591,"about_ca_system_score_gemma":0.001084936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003713604,"about_ca_topic_score_gemma":0.004582846,"domain_scores_codex":[0.9989539,0.0001451079,0.0000642244,0.0003115445,0.000446103,0.00007906958],"domain_scores_gemma":[0.9983432,0.0003010552,0.0001334362,0.0005330188,0.0005744119,0.0001147877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00041614,0.0001305036,0.003959016,0.0006618602,0.00009749111,0.0001851919,0.0002599232,0.00468145,0.006382442,0.02946044,0.4520868,0.5016786],"study_design_scores_gemma":[0.0001058436,0.0001126579,0.003148672,0.0001071772,0.00005432968,0.0004006415,0.00009169573,0.07421114,0.00778504,0.02732451,0.886587,0.00007123096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01961898,0.003320975,0.4463467,0.003048831,0.001770294,0.001218186,0.06591348,0.2016199,0.2571427],"genre_scores_gemma":[0.1705578,0.003608783,0.4046912,0.001781634,0.0008608701,0.001244115,0.1774704,0.01189404,0.2278912],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9465119,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06463963709569835,"score_gpt":0.2740322450866036,"score_spread":0.2093926079909052,"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."}}