{"id":"W4402350889","doi":"10.33137/q.i..v44i2.43857","title":"Front Matter","year":2024,"lang":"fr","type":"paratext","venue":"Quaderni d italianistica","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"City University of New York","keywords":"Front (military); Physics; 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":[0.0006302901,0.002884893,0.002484207,0.0007575392,0.0004993638,0.002197914,0.001979048,0.00250013,0.9698651],"category_scores_gemma":[0.0002692475,0.00305739,0.001333103,0.0006445163,0.001772261,0.0003513256,0.0009265639,0.003790805,0.9998309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00258666,"about_ca_system_score_gemma":0.001160511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008606483,"about_ca_topic_score_gemma":0.00012168,"domain_scores_codex":[0.9884019,0.0007749762,0.002268927,0.003508219,0.001891422,0.003154592],"domain_scores_gemma":[0.994324,0.0005376153,0.0006769981,0.002734281,0.0003946197,0.001332437],"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":[0.0001163834,0.0005156717,0.0001000967,0.0050723,0.001572869,0.001967946,0.0008802434,0.00004247067,0.0003794943,0.007279404,0.9815317,0.0005413609],"study_design_scores_gemma":[0.0002972931,0.0002928438,0.0002707644,0.003518994,0.002690016,0.0005732707,0.0003850395,0.001419867,0.0002227841,0.002166627,0.9848527,0.003309754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001114057,0.03375718,0.00115743,0.003560577,0.02801225,0.001436009,0.02887564,0.0005549654,0.9025345],"genre_scores_gemma":[0.009540103,0.0002243367,0.002167399,0.001691156,0.007305472,0.0003537707,0.004510975,0.002544379,0.9716624],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06912787,"threshold_uncertainty_score":0.9988379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02702835357384742,"score_gpt":0.2880561038838239,"score_spread":0.2610277503099765,"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."}}