{"id":"W7071168590","doi":"","title":"Probabilistic Modeling in Community-based Question Answering Services","year":2012,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Question answering; Topic model; Task (project management); Dependency (UML); Cluster analysis; Probabilistic logic; Statistical model; Ask price","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002126227,0.0001798772,0.000177056,0.00002827088,0.00005630463,0.00001019675,0.0002049951,0.00007405332,0.00001926852],"category_scores_gemma":[0.000002839017,0.0001836424,0.00001626495,0.00002971472,0.0000322612,0.000008730814,0.000130517,0.0002242572,1.976785e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003634681,"about_ca_system_score_gemma":0.000467008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01367129,"about_ca_topic_score_gemma":0.1582178,"domain_scores_codex":[0.998944,0.0001128306,0.000205167,0.000113754,0.0004292087,0.000194987],"domain_scores_gemma":[0.9994783,0.000028316,0.0001512659,0.0002470905,3.041357e-7,0.00009469892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003917551,0.00116575,0.3350178,0.08922164,0.001446362,0.0001274651,0.001842892,0.2922445,0.1291469,0.05563942,0.02594483,0.0642849],"study_design_scores_gemma":[0.001431242,0.0002998102,0.004402116,0.003333864,0.00008451966,0.00001111897,0.002401513,0.3968577,0.01888303,0.000362262,0.570345,0.001587847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0387597,0.000967726,0.0008715683,0.0003789399,0.0002079709,0.0003503497,0.0002451283,0.00001969159,0.9581989],"genre_scores_gemma":[0.9542184,0.0001448956,0.004435708,0.00102302,0.0001262675,0.00001350769,0.0003261053,0.0001566932,0.03955536],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9186436,"threshold_uncertainty_score":0.9928967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004050178991610728,"score_gpt":0.1686045300607556,"score_spread":0.1645543510691449,"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."}}