{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009740395,0.002934374,0.002961285,0.0069714,0.00230026,0.004887513,0.004525928,0.003491403,0.1512627],"category_scores_gemma":[0.01559009,0.0007837068,0.001618539,0.004535174,0.0009266188,0.004273925,0.002465382,0.003504418,0.1220693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00470002,"about_ca_system_score_gemma":0.00950511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06540788,"about_ca_topic_score_gemma":0.09836566,"domain_scores_codex":[0.9941996,0.00149523,0.0004544682,0.0007230131,0.002539837,0.0005877276],"domain_scores_gemma":[0.9796708,0.002471416,0.0007761234,0.002189049,0.01268628,0.002206222],"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":[0.0001620083,0.00007909576,0.000207694,0.0002667805,0.00003376694,0.00002218954,0.00001382184,0.000447418,0.0006272257,0.0005847779,0.9836056,0.01394961],"study_design_scores_gemma":[0.000573419,0.0002939294,0.004657444,0.0002757852,0.0001340717,0.0001884647,0.0001144768,0.003402325,0.005037915,0.0036748,0.9815112,0.0001362698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00882177,0.009882298,0.01050633,0.01325129,0.01362075,0.003354111,0.7666656,0.01639018,0.1575077],"genre_scores_gemma":[0.01028634,0.002110319,0.01333195,0.002667142,0.001247173,0.001418099,0.8354695,0.001988428,0.1314809],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1512627,"threshold_uncertainty_score":0,"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."}}