{"id":"W4243037193","doi":"10.5840/cpsem20161","title":"Index of Proper Names","year":2016,"lang":"it","type":"book-chapter","venue":"Semiotics","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006628664,0.00162814,0.001636667,0.005584012,0.002599959,0.008792185,0.001293891,0.00131974,0.3686293],"category_scores_gemma":[0.003668485,0.0004993539,0.0005298783,0.007879237,0.001571486,0.007585736,0.002762653,0.002595032,0.3500267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002036996,"about_ca_system_score_gemma":0.002076553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001777525,"about_ca_topic_score_gemma":0.003274752,"domain_scores_codex":[0.9990865,0.0001754958,0.00007909138,0.0001650355,0.0003992705,0.00009469701],"domain_scores_gemma":[0.9987312,0.0002766572,0.00007570923,0.0002067389,0.0004871678,0.0002224713],"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":[0.00002792278,0.00003797132,0.00008583525,0.0002568209,0.000003763516,0.00003776807,0.0002215724,0.00008964566,0.0003683112,0.09779625,0.7854925,0.1155815],"study_design_scores_gemma":[0.000001907122,0.000005554863,0.00004791966,0.0001006383,0.000001402177,0.00002927284,0.00004866917,0.00004064143,0.00004865228,0.01193175,0.9877401,0.000003573802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004777383,0.01437747,0.004763274,0.002755152,0.01309321,0.0000843415,0.001722342,0.0005407963,0.9621858],"genre_scores_gemma":[0.002588163,0.007098832,0.001219167,0.0007538255,0.002641798,0.0000751493,0.001095206,0.0005842654,0.9839436],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3686293,"threshold_uncertainty_score":0.9005737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04038249297906362,"score_gpt":0.2000717118019211,"score_spread":0.1596892188228575,"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."}}