{"id":"W2595505744","doi":"10.33137/rr.v37i3.22480","title":"Amore punito e disarmato. Parola e immagine da Petrarca all’Arcadia","year":2015,"lang":"it","type":"article","venue":"Renaissance and Reformation","topic":"Renaissance and Early Modern Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arcadia; E learning; Art; Computer science; Literature; World Wide Web; The Internet","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004708818,0.000518646,0.0006156798,0.0002116807,0.0008111785,0.0007930729,0.0002598065,0.0001739437,0.0001354956],"category_scores_gemma":[0.00004182256,0.0003764494,0.0001352583,0.0001298343,0.0007520612,0.00240576,0.000165235,0.0004326928,0.0005354548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001105885,"about_ca_system_score_gemma":0.00008254223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006113571,"about_ca_topic_score_gemma":0.0001916868,"domain_scores_codex":[0.997427,0.0001064251,0.0007337035,0.0004288058,0.000580303,0.000723736],"domain_scores_gemma":[0.9984556,0.00003716571,0.0003722564,0.0004490214,0.0003110017,0.0003749123],"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":[0.0007727207,0.000484726,0.01220585,0.001569446,0.000979514,0.00008472513,0.260428,0.0002127757,0.0001726468,0.08859149,0.5901225,0.04437566],"study_design_scores_gemma":[0.001981922,0.0003317922,0.004936723,0.0005305124,0.0001730019,0.00005104896,0.01665124,0.001838698,0.0002113931,0.002214077,0.9702999,0.0007797217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6252855,0.06242779,0.0002129692,0.01023299,0.003010907,0.001091721,0.0002666434,0.0004030055,0.2970684],"genre_scores_gemma":[0.9848802,0.006942679,0.000046541,0.0005037822,0.001533206,0.00004402237,0.0002126401,0.00005090658,0.005786014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3801774,"threshold_uncertainty_score":0.9998688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06633572318608408,"score_gpt":0.2692025624467479,"score_spread":0.2028668392606638,"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."}}