{"id":"W6930331383","doi":"10.5281/zenodo.14187991","title":"LA GENEALOGIA DEI RUGGERI DI SAN PIER NICETO E SAPONARA","year":2024,"lang":"it","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pier; Tree (set theory); Royal family","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":[0.0006989258,0.0003293731,0.0003252714,0.003749449,0.001154592,0.001281616,0.0006600127,0.0004681444,0.02571343],"category_scores_gemma":[0.002000005,0.0002777191,0.0002237946,0.005943734,0.001014875,0.0008066992,0.0008742173,0.0005372034,0.005088863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00205207,"about_ca_system_score_gemma":0.002236625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.109755,"about_ca_topic_score_gemma":0.2885266,"domain_scores_codex":[0.9992452,0.0001201443,0.0000261754,0.0002066763,0.0002880084,0.0001137703],"domain_scores_gemma":[0.9987842,0.0003164493,0.0001920979,0.000224993,0.0003781754,0.000104158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002372728,0.00005836924,0.4066125,0.000808132,0.000142654,0.001521418,0.02811022,0.001140863,0.01005623,0.04357237,0.06164926,0.4460906],"study_design_scores_gemma":[0.000007407222,0.00005804242,0.5227489,0.0002644607,0.0000443867,0.001139537,0.005552833,0.0005036308,0.00213405,0.002733201,0.4647716,0.00004183215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5854046,0.004133667,0.01348872,0.002496664,0.0001869539,0.000320202,0.02254866,0.0003996114,0.3710208],"genre_scores_gemma":[0.7225537,0.003738275,0.02228037,0.0006731873,0.00007487667,0.0002417717,0.02030701,0.0003084514,0.2298224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.109755,"threshold_uncertainty_score":0.2182323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0380812103210281,"score_gpt":0.262751919890816,"score_spread":0.2246707095697879,"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."}}