{"id":"W4391904037","doi":"10.24251/hicss.2023.072","title":"Introduction to the Minitrack on Text Mining and Analytics","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Social media; Computer science; Data science; Big data; World Wide Web; Government (linguistics); Social media analytics; Analytics; Knowledge management; Data mining","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":[0.01012342,0.002956432,0.002818896,0.01079652,0.003285552,0.01604156,0.004884057,0.00509925,0.08542161],"category_scores_gemma":[0.02580985,0.001794166,0.002254972,0.01206949,0.003152771,0.01894268,0.00903802,0.01291065,0.08710582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002491897,"about_ca_system_score_gemma":0.004480557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002921287,"about_ca_topic_score_gemma":0.004679361,"domain_scores_codex":[0.9904442,0.002286549,0.0009100522,0.00159165,0.004277923,0.0004896176],"domain_scores_gemma":[0.956341,0.0202249,0.001334933,0.004188532,0.01305997,0.004850768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000603785,0.0001091991,0.0002630881,0.0004808205,0.00002947567,0.00006094376,0.0001788725,0.0002686166,0.0009740192,0.005077894,0.7702398,0.2222569],"study_design_scores_gemma":[0.00001192283,0.00008496317,0.0004949781,0.0005777617,0.00001103596,0.0002140029,0.0001341215,0.0009055451,0.0004136802,0.006775757,0.9903228,0.00005334717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"editorial","genre_scores_codex":[0.002277973,0.1552835,0.3588313,0.1194684,0.2287538,0.002315759,0.0101081,0.01971905,0.1032422],"genre_scores_gemma":[0.008826557,0.14976,0.2035737,0.04512019,0.2039727,0.002941053,0.02525466,0.01041192,0.3501392],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.08542161,"threshold_uncertainty_score":0.2857637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05798968165721539,"score_gpt":0.3003729609921053,"score_spread":0.2423832793348899,"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."}}