{"id":"W4256457448","doi":"10.2172/963209","title":"EMSL Quarterly Highlights Report: FY09, 3rd Quarter","year":2009,"lang":"en","type":"report","venue":"","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Computer science; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001685129,0.0006440603,0.0003132671,0.001836115,0.001864088,0.004525569,0.0009807196,0.002305201,0.1017992],"category_scores_gemma":[0.003579615,0.000280024,0.0002839451,0.001526852,0.0002868834,0.001548597,0.001153154,0.001703732,0.05149681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005038752,"about_ca_system_score_gemma":0.007886688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1227017,"about_ca_topic_score_gemma":0.1851612,"domain_scores_codex":[0.9988268,0.00005188104,0.00004411123,0.00005759018,0.0008482783,0.0001713655],"domain_scores_gemma":[0.9979197,0.00009745685,0.0001915202,0.00005762641,0.001520487,0.000213254],"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":[0.00004033005,0.00001887047,0.0007986787,0.00003158844,0.000001948112,0.0000390697,0.00004309561,0.00003310923,0.0001053571,0.0005320846,0.9923773,0.005978624],"study_design_scores_gemma":[0.00001592585,0.0000276449,0.008732688,0.00006534508,0.000003329646,0.00002390781,0.0003667182,0.00008635665,0.0003172629,0.0002142732,0.9901399,0.000006557703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02495876,0.003577939,0.001219215,0.06998137,0.01348432,0.0006173372,0.2342677,0.002149104,0.6497443],"genre_scores_gemma":[0.02883462,0.003512487,0.001137221,0.005492212,0.001689872,0.0003731626,0.06270303,0.0005029719,0.8957544],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1227017,"threshold_uncertainty_score":0.3405521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284913506338847,"score_gpt":0.2791235245543233,"score_spread":0.2562743894909348,"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."}}