{"id":"W7135358619","doi":"","title":"Grimm","year":2010,"lang":"","type":"report","venue":"ScholarlyCommons (University of Pennsylvania)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prestige; French; Middle Ages; Variation (astronomy); Sociolinguistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.007604144,0.002864453,0.005285558,0.005064516,0.003741601,0.0007225622,0.01024721,0.006898887,0.03206933],"category_scores_gemma":[0.001888532,0.004407778,0.004012966,0.004652876,0.00504055,0.006670073,0.005847155,0.02027995,0.03465195],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002275469,"about_ca_system_score_gemma":0.009119319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01217258,"about_ca_topic_score_gemma":0.03194869,"domain_scores_codex":[0.9826482,0.001707124,0.002083337,0.004025822,0.006478243,0.003057295],"domain_scores_gemma":[0.9754016,0.0007813569,0.006771767,0.007984504,0.006612176,0.00244858],"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":[0.005283529,0.01255934,0.09461601,0.006364003,0.01370243,0.01452513,0.01252113,0.0000764409,0.3641827,0.007363038,0.3679657,0.1008405],"study_design_scores_gemma":[0.00463281,0.0007486033,0.07360058,0.001407209,0.004778631,0.001019247,0.005430331,0.0001063472,0.0004455379,0.0006827103,0.9031742,0.003973802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5093257,0.004656183,0.0007593292,0.00120678,0.009044815,0.003834741,0.01057807,0.001052516,0.4595419],"genre_scores_gemma":[0.8344483,0.007146741,0.02023442,0.00005683401,0.001555902,0.000003062656,0.002628329,0.001570568,0.1323558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5352085,"threshold_uncertainty_score":0.9984087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0341105825555084,"score_gpt":0.2433230909378656,"score_spread":0.2092125083823572,"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."}}