{"id":"W2075245318","doi":"10.1145/1670564.1670576","title":"TREC-CHEM","year":2009,"lang":"en","type":"article","venue":"ACM SIGIR Forum","topic":"Topic Modeling","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Scalability; Data science; Domain (mathematical analysis); Information retrieval; Database","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":[0.00008420033,0.00007999995,0.000084735,0.00004002392,0.000062896,0.00007193705,0.001195084,0.00004204276,0.00001324833],"category_scores_gemma":[0.00006718809,0.00007350434,0.00004602068,0.0001396361,0.000007512511,0.0002930527,0.0002099903,0.00007784964,0.0001283463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002061144,"about_ca_system_score_gemma":0.00001939303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006539993,"about_ca_topic_score_gemma":0.000002267372,"domain_scores_codex":[0.9991843,0.000009766361,0.0001197582,0.00025133,0.000147667,0.0002872367],"domain_scores_gemma":[0.9988669,0.00003306941,0.00002970637,0.0009865528,0.0000201004,0.00006364263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001706384,0.00003409505,0.0006835859,0.000001776696,0.000004346632,0.00001435379,0.0002891152,0.00008834949,0.001661678,0.129066,0.009404039,0.8587509],"study_design_scores_gemma":[0.001055982,0.0003711312,0.009613964,0.00003832333,0.000009888078,0.00006620277,0.00009276211,0.1391143,0.03022499,0.6478733,0.1707402,0.0007989994],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06761308,0.0002628668,0.8701289,0.03745679,0.0005426242,0.0001150318,6.079476e-7,0.000513464,0.02336663],"genre_scores_gemma":[0.9113988,0.000004493388,0.08484694,0.002845859,0.0000658262,0.000002001339,5.693367e-7,0.000003344837,0.0008321913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8579519,"threshold_uncertainty_score":0.299742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942046817583299,"score_gpt":0.253826350292681,"score_spread":0.234405882116848,"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."}}