{"id":"W7135314289","doi":"","title":"Collation Model for Ms. Codex 970: Registro del peage d'Arle.","year":2025,"lang":"","type":"other","venue":"Scholarly Commons (University of Pennsylvania)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collation; Register (sociolinguistics); Quarter (Canadian coin); Relation (database)","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","research_integrity","insufficient_payload"],"category_scores_codex":[0.002906237,0.00211078,0.003449887,0.004523147,0.003057788,0.001024707,0.006032954,0.003101434,0.006077545],"category_scores_gemma":[0.001327184,0.003395994,0.002234624,0.003331371,0.001824634,0.005509565,0.002393857,0.003357241,0.00294802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002581692,"about_ca_system_score_gemma":0.004979298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003581905,"about_ca_topic_score_gemma":0.03290085,"domain_scores_codex":[0.9900042,0.001156969,0.001396166,0.003159348,0.002223151,0.002060137],"domain_scores_gemma":[0.9840274,0.0009163449,0.004071407,0.004638445,0.00530308,0.001043266],"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":[0.006063423,0.00248438,0.004127494,0.002438433,0.004039126,0.0001599288,0.00426883,0.008890864,0.006263775,0.05097611,0.9058744,0.004413276],"study_design_scores_gemma":[0.01834196,0.0008980248,0.005696721,0.003257462,0.006792915,0.00002556093,0.005632565,0.446385,0.00007108665,0.005573826,0.5028335,0.004491335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0083242,0.002272225,0.3969016,0.001936052,0.001002973,0.007965988,0.03481979,0.0007941074,0.5459831],"genre_scores_gemma":[0.1615752,0.0005328103,0.06366777,0.0001693791,0.0002196628,0.0000111169,0.002182032,0.001229676,0.7704124],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4374941,"threshold_uncertainty_score":0.9993449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03493718732988892,"score_gpt":0.2437824309942498,"score_spread":0.2088452436643608,"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."}}