{"id":"W7046178280","doi":"","title":"Contextes urbains vs. ruraux: l'Italie centrale et septentrionale durant le haut Moyen Age","year":2015,"lang":"en","type":"article","venue":"CINECA IRIS Institutial research information system (University of Pisa)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rural area; Urbanization; Population; Quarter (Canadian coin); Rural population","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":[0.0005888038,0.0002336345,0.0002830037,0.0007307144,0.00186183,0.002849682,0.0003322047,0.0006704025,0.00879031],"category_scores_gemma":[0.0009053852,0.0001596286,0.0001856658,0.001168594,0.001948438,0.0009805831,0.001931798,0.00129368,0.0007980482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003421735,"about_ca_system_score_gemma":0.002463225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06556348,"about_ca_topic_score_gemma":0.09449598,"domain_scores_codex":[0.999449,0.0001105963,0.00002838,0.00009821041,0.00004934295,0.0002645525],"domain_scores_gemma":[0.9993628,0.0001455143,0.0002657087,0.00002001037,0.00004958719,0.0001565097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001884577,0.0004375543,0.4999977,0.001403194,0.0001462083,0.01617745,0.1373272,0.001232328,0.01029787,0.1966407,0.02804889,0.1064064],"study_design_scores_gemma":[0.00003232152,0.0001224903,0.7647591,0.0004003902,0.00002899853,0.001905919,0.04107312,0.000139947,0.0007754886,0.001866146,0.1888544,0.00004177844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245068,0.01094778,0.0003308538,0.01600474,0.0002917392,0.00002383136,0.001078486,0.00003431745,0.04678141],"genre_scores_gemma":[0.9864036,0.002597329,0.0001508232,0.0007525967,0.0001981084,0.00001532099,0.0002119309,0.00002044613,0.009649821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06556348,"threshold_uncertainty_score":0.1303637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06046901246648659,"score_gpt":0.289032809383793,"score_spread":0.2285637969173064,"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."}}