{"id":"W7013052353","doi":"","title":"9631177785","year":2008,"lang":"hu","type":"other","venue":"University of Debrecen Electronic Archive (University of Debrecen)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Theme (computing); Class (philosophy); Identification (biology); Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.0006978407,0.002093414,0.003890661,0.003807176,0.001614489,0.00002303233,0.005843419,0.001755113,0.04616933],"category_scores_gemma":[0.0001280151,0.003289249,0.002385747,0.002643433,0.006406071,0.0009457231,0.002199937,0.003160077,0.01194585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002417384,"about_ca_system_score_gemma":0.005532039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0166944,"about_ca_topic_score_gemma":0.04635084,"domain_scores_codex":[0.9889137,0.001736353,0.000819597,0.002865945,0.00208475,0.003579688],"domain_scores_gemma":[0.9910345,0.0007662526,0.003472766,0.002654007,0.0008789484,0.001193535],"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":[0.01193486,0.005392004,0.003757869,0.001913314,0.01535993,0.001946185,0.03029892,0.0003753385,0.01423069,0.0133381,0.8454223,0.05603047],"study_design_scores_gemma":[0.009790252,0.001815462,0.003103173,0.001491393,0.002848207,0.000281673,0.01151014,0.003134603,0.0002125811,0.001350774,0.9613928,0.003069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03977535,0.00946994,0.02827151,0.001431922,0.0009394126,0.005050531,0.009259432,0.001258074,0.9045438],"genre_scores_gemma":[0.1334032,0.1118964,0.02227721,0.0001604433,0.0004496445,3.638118e-7,0.003631816,0.002415979,0.725765],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1787788,"threshold_uncertainty_score":0.9996853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00576084774218939,"score_gpt":0.160702745864319,"score_spread":0.1549418981221296,"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."}}