{"id":"W2784839898","doi":"","title":"NTTMU system in the 2nd social media mining for health applications shared task","year":2017,"lang":"en","type":"article","venue":"CEUR Workshop Proceedings","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Task (project management); Social media; Computer science; World Wide Web; Data science; Internet privacy; Engineering","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":[0.001971182,0.001325556,0.001449888,0.003366086,0.001789006,0.001893292,0.001531793,0.002035907,0.01111209],"category_scores_gemma":[0.005090633,0.0004479469,0.001558149,0.001687843,0.0003022565,0.002962536,0.003089229,0.001031484,0.009226807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000910881,"about_ca_system_score_gemma":0.002237665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01077421,"about_ca_topic_score_gemma":0.0136562,"domain_scores_codex":[0.9982728,0.0004405778,0.0002023839,0.0004869511,0.0004019395,0.000195322],"domain_scores_gemma":[0.9987971,0.000363428,0.00007437393,0.0002918015,0.0003149498,0.000158321],"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":[0.002016717,0.001190131,0.01501989,0.001313513,0.00055999,0.001370617,0.000922764,0.004081997,0.03205564,0.005951985,0.2726158,0.6629009],"study_design_scores_gemma":[0.0003378149,0.0007733231,0.02971929,0.0005056169,0.0009966423,0.001806666,0.001560939,0.4082301,0.09104208,0.0215537,0.4431426,0.0003312785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1648701,0.005644403,0.4426861,0.004923253,0.002945152,0.002970144,0.1234225,0.2028269,0.04971155],"genre_scores_gemma":[0.3396523,0.001213988,0.4385844,0.001529586,0.0005989283,0.003079153,0.1744876,0.003728136,0.03712581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01111209,"threshold_uncertainty_score":0.03717363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06373446760919713,"score_gpt":0.3252538038133155,"score_spread":0.2615193362041184,"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."}}