{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"98b994277759","filters":{"venue":"ANALELE ȘTIINŢIFICE ALE UNIVERSITĂŢII „ALEXANDRU IOAN CUZA” DIN IAȘI (SERIE NOUĂ) ȘTIINŢE JURIDICE"}},"results":[{"id":"W4415495799","doi":"10.47743/jss-2025-71-2-10","title":"Former les traducteurs juridiques à l’aide de la jurilinguistique","year":2025,"lang":"ro","type":"article","venue":"ANALELE ȘTIINŢIFICE ALE UNIVERSITĂŢII „ALEXANDRU IOAN CUZA” DIN IAȘI (SERIE NOUĂ) ȘTIINŢE JURIDICE","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Information scientist; Meaning (existential); Jurisprudence","authors":[{"name":"Corina Veleanu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0205116269165243,"gpt":0.2719379720301092,"spread":0.2514263451135849,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00483983,0.000552917,0.000546657,0.00211944,0.02407349,0.01278948,0.001460249,0.002379109,0.0182895],"category_scores_gemma":[0.008674703,0.0003691445,0.0003888332,0.003698789,0.01703807,0.00713883,0.006111446,0.006151619,0.001902364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03546868,"about_ca_system_score_gemma":0.08309075,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5298293,"about_ca_topic_score_gemma":0.7251425,"domain_scores_codex":[0.9946906,0.001678803,0.0001747965,0.0006634106,0.001638902,0.001153546],"domain_scores_gemma":[0.9945972,0.001425831,0.0004888398,0.0003611867,0.001950719,0.001176122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009319741,0.00003369221,0.007487366,0.0003605876,0.00001540006,0.0005104715,0.4203127,0.0002630075,0.001454944,0.4843667,0.01656644,0.06853544],"study_design_scores_gemma":[0.00001011853,0.00002994326,0.01238625,0.0005753856,0.00002328233,0.0003178416,0.1138066,0.0001292214,0.0007326159,0.01753674,0.8543802,0.00007177496],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.2095166,0.02326136,0.01475253,0.04608367,0.001575964,0.0002049931,0.0005098055,0.0001914308,0.7039038],"genre_scores_gemma":[0.7130328,0.0111109,0.00555472,0.004402811,0.0003486894,0.0001292894,0.0002465895,0.00013717,0.265037],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5298293,"threshold_uncertainty_score":0.9458792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411740303","doi":"10.47743/jss-2025-71-1-3","title":"Interpretarea, instrument de atenuare a bias-ului algoritmic în contractele electronice","year":2025,"lang":"ro","type":"article","venue":"ANALELE ȘTIINŢIFICE ALE UNIVERSITĂŢII „ALEXANDRU IOAN CUZA” DIN IAȘI (SERIE NOUĂ) ȘTIINŢE JURIDICE","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Art","authors":[{"name":"Sebastian ANTOCE","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01589665356415824,"gpt":0.2047075313048123,"spread":0.1888108777406541,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004499416,0.0005120643,0.0003279777,0.002651663,0.002601346,0.01394869,0.001046362,0.001211696,0.03001241],"category_scores_gemma":[0.01685255,0.0003138174,0.0005390248,0.003522538,0.00832005,0.00970921,0.003345744,0.001740679,0.002165483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007688357,"about_ca_system_score_gemma":0.006683262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03106925,"about_ca_topic_score_gemma":0.036722,"domain_scores_codex":[0.9958749,0.001525637,0.0002587116,0.0005719059,0.001374603,0.0003942414],"domain_scores_gemma":[0.9928406,0.003416576,0.0007262771,0.00108739,0.001708145,0.0002210318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008247135,0.00003839406,0.0143706,0.0002967535,0.00002309518,0.0003013059,0.04269331,0.0008983071,0.001060074,0.8670797,0.003537841,0.06961827],"study_design_scores_gemma":[0.00004401977,0.0000918165,0.0477698,0.001228838,0.0001016612,0.0007071309,0.1280971,0.009652985,0.005547998,0.3936085,0.413012,0.0001382501],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2125632,0.002180883,0.1001632,0.007437897,0.000246489,0.000286187,0.0008386312,0.0002817517,0.6760017],"genre_scores_gemma":[0.8920044,0.001226149,0.0289788,0.0005477059,0.00009047931,0.0001395028,0.0003549674,0.0002307722,0.07642731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03106925,"threshold_uncertainty_score":0.1004015,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}