{"id":"W4242488483","doi":"10.2172/943409","title":"EMSL Quarterly Highlights Report: FY 2008, 3rd Quarter","year":2008,"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); Environmental science; History; 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":[0.003013029,0.001072388,0.0004874574,0.00285529,0.001598443,0.005228073,0.001494301,0.00240147,0.1353664],"category_scores_gemma":[0.00711352,0.0004911859,0.0003397117,0.002361508,0.0002957532,0.002083724,0.001012053,0.001477909,0.112583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005921355,"about_ca_system_score_gemma":0.01450696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1282882,"about_ca_topic_score_gemma":0.1578091,"domain_scores_codex":[0.9975019,0.0001194099,0.000123389,0.0001231142,0.001835383,0.0002967829],"domain_scores_gemma":[0.9951112,0.0002409341,0.0003801627,0.0001269191,0.003836912,0.0003038724],"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":[0.00002847876,0.00002289854,0.0002781936,0.00002499751,0.000001095482,0.00001120269,0.00001475221,0.0000350536,0.00003073101,0.0003251507,0.9959272,0.003300313],"study_design_scores_gemma":[0.00002435482,0.00003834307,0.006092373,0.00009395106,0.00000547417,0.00001530999,0.0001882114,0.0001207322,0.0003526542,0.0002152765,0.9928437,0.000009581993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.009172284,0.001805072,0.00104109,0.02869937,0.006939212,0.0008428056,0.4811493,0.002301585,0.4680492],"genre_scores_gemma":[0.01033184,0.002114137,0.0008997445,0.003731034,0.001087895,0.0007546735,0.1463701,0.0006076766,0.8341029],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1353664,"threshold_uncertainty_score":0.4528458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756695570356779,"score_gpt":0.2719104259810151,"score_spread":0.2443434702774473,"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."}}