{"id":"W4249824859","doi":"10.33137/q.i..v22i1.9341","title":"Front matter","year":2001,"lang":"fr","type":"paratext","venue":"Quaderni d italianistica","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Front (military); History; Geography; Meteorology","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0006171299,0.003007095,0.002852169,0.0006422604,0.0007971656,0.001185046,0.002363469,0.002776685,0.9836749],"category_scores_gemma":[0.0003796032,0.00339265,0.001158883,0.0006437242,0.001994797,0.0004591755,0.0006340116,0.002941219,0.9994021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002577005,"about_ca_system_score_gemma":0.0009156219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001688797,"about_ca_topic_score_gemma":0.0002010025,"domain_scores_codex":[0.9873216,0.00111526,0.002482049,0.003177167,0.002028182,0.003875789],"domain_scores_gemma":[0.9925727,0.0005890765,0.001346501,0.003250859,0.0005896052,0.00165122],"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":[0.000223391,0.001085492,0.00119731,0.001177202,0.0009541652,0.00154165,0.0004870144,0.00009206414,0.0002323021,0.001820732,0.9902853,0.0009033984],"study_design_scores_gemma":[0.0007095817,0.0003567496,0.00173231,0.001409456,0.001413063,0.0009145093,0.0003817378,0.0008404048,0.0001265911,0.0006496111,0.9877555,0.003710521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002122542,0.009859546,0.00400384,0.00206522,0.01262237,0.001661192,0.01406537,0.0003529067,0.9551573],"genre_scores_gemma":[0.00602,0.0004293527,0.003332841,0.002301904,0.006476596,0.0002922085,0.00533891,0.001980552,0.9738277],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01867034,"threshold_uncertainty_score":0.9998518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02924729520479808,"score_gpt":0.2831579760965411,"score_spread":0.2539106808917431,"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."}}