{"id":"W2019374767","doi":"10.3115/1621474.1621496","title":"CLaC and CLaC-NB","year":2007,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Artificial intelligence; Task (project management); Recall; Domain (mathematical analysis); Annotation; Natural language processing; SemEval; Precision and recall; Machine learning; Information retrieval; Mathematics; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003095985,0.00004301339,0.00005811086,0.00006633424,0.0000510768,0.00008532686,0.0001572018,0.0000200177,0.00008026069],"category_scores_gemma":[0.000004942654,0.00003399674,0.00002455303,0.0001749609,0.00001234336,0.0001576821,0.00009454907,0.00003132498,0.00005735833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004787817,"about_ca_system_score_gemma":0.000004850135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001102479,"about_ca_topic_score_gemma":0.00001072186,"domain_scores_codex":[0.9995047,0.000006679627,0.0001004553,0.0001539334,0.0001080102,0.0001262506],"domain_scores_gemma":[0.9997089,0.00003992284,0.00002197987,0.000157945,0.00001638317,0.00005488815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004385688,0.00005392798,0.05531583,0.000005293996,0.00004991586,0.00002081753,0.0009616821,0.000009382066,0.001905693,0.5889903,0.01725334,0.3354295],"study_design_scores_gemma":[0.001786969,0.0002526257,0.2979472,0.0000377541,0.00004081024,0.00004928147,0.001091813,0.2836914,0.0356192,0.01120108,0.367116,0.001165786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05983656,0.000165111,0.87824,0.0008360834,0.0001592168,0.00002725915,4.090376e-8,0.0000792391,0.06065642],"genre_scores_gemma":[0.9239212,0.00001687883,0.07085963,0.0008790065,0.00007046021,3.33791e-7,6.105706e-7,0.000002373668,0.004249557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8640846,"threshold_uncertainty_score":0.1386347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063992692388565,"score_gpt":0.2564107944565275,"score_spread":0.2457708675326418,"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."}}