{"id":"W4323660856","doi":"10.33137/ic.v17i.40303","title":"Inside Front Cover","year":2023,"lang":"en","type":"paratext","venue":"Italian Canadiana","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Front cover; Cover (algebra); Front (military); Computer science; Geology; Engineering; Oceanography; Mechanical engineering","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002814195,0.0003453773,0.0008337992,0.0006400943,0.0001912544,0.0002280735,0.0004996547,0.0003046062,0.2053777],"category_scores_gemma":[0.00007361421,0.0004515765,0.0002686905,0.0002239867,0.0001441716,0.0001602487,0.0001268812,0.0002495584,0.9346314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008629709,"about_ca_system_score_gemma":0.00018992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07014571,"about_ca_topic_score_gemma":0.01594451,"domain_scores_codex":[0.9976532,0.000007485589,0.0006700422,0.0009133905,0.00004505918,0.000710769],"domain_scores_gemma":[0.9985803,0.0000355399,0.0003810511,0.0006359676,0.00002799086,0.0003391317],"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":[0.000001736767,0.000006714793,0.00005695315,0.00003650268,0.0002126616,0.00002911299,0.0002603019,0.0001151954,5.393409e-8,0.0055284,0.9936294,0.0001229696],"study_design_scores_gemma":[0.000196407,0.00001238358,0.0002367677,0.00003567647,0.00001078035,0.000001444801,0.0001640409,0.00009761663,0.000001011726,0.0009625293,0.9977551,0.0005262289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001012599,0.005679301,0.00001447648,0.0005010661,0.03004044,0.0002114279,0.0216483,0.00003981697,0.9417639],"genre_scores_gemma":[0.001693777,0.0007077561,0.00003015493,0.0009799285,0.0006730955,0.00003786643,0.0004426929,0.00008829132,0.9953464],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7292536,"threshold_uncertainty_score":0.9997936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04808777189877497,"score_gpt":0.211638733208268,"score_spread":0.163550961309493,"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."}}