{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001370676,0.000933569,0.0005907498,0.002674786,0.003155783,0.004060969,0.001759998,0.002507836,0.8186771],"category_scores_gemma":[0.005965243,0.0007458452,0.00047149,0.00250625,0.0005398539,0.002331455,0.003331787,0.002245451,0.7648816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002958336,"about_ca_system_score_gemma":0.005921198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07207548,"about_ca_topic_score_gemma":0.09502418,"domain_scores_codex":[0.9985443,0.0001233157,0.00006859746,0.0002314135,0.0007189435,0.0003134183],"domain_scores_gemma":[0.9954958,0.0004953393,0.0002326663,0.000488795,0.002616779,0.000670581],"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":[0.000020381,0.000007602051,0.0001638023,0.00002556891,6.413756e-7,0.00001468565,0.00005299089,0.00002249809,0.00004921684,0.00161118,0.9894642,0.008567256],"study_design_scores_gemma":[0.00001123345,0.000007500805,0.0008363298,0.00003583878,8.238844e-7,0.00001045533,0.00008696993,0.00005970183,0.00007254264,0.0003030623,0.9985694,0.000005995605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006878293,0.0002169107,0.001202283,0.003564076,0.001172369,0.000446348,0.0396181,0.004354978,0.9487371],"genre_scores_gemma":[0.001117704,0.00006992003,0.0002623416,0.0005666324,0.0001181382,0.0001915181,0.005553398,0.0007745183,0.9913458],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8186771,"threshold_uncertainty_score":0.2586351,"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."}}