{"id":"W6995105277","doi":"","title":"Reviews","year":2008,"lang":"hu","type":"article","venue":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","topic":"European Linguistics and Anthropology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agrarian society; Rural development; Element (criminal law)","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"],"consensus_categories":["sts"],"category_scores_codex":[0.001896209,0.0006049554,0.00144322,0.0002872463,0.00330558,0.00008763347,0.01076016,0.0008154387,0.0004348456],"category_scores_gemma":[0.0005601508,0.0003836071,0.001323581,0.002909378,0.02783823,0.002584933,0.003154187,0.001831546,0.00003246632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002591126,"about_ca_system_score_gemma":0.0009045968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007437553,"about_ca_topic_score_gemma":2.720257e-7,"domain_scores_codex":[0.9900943,0.003416033,0.002724944,0.001016465,0.001769036,0.000979202],"domain_scores_gemma":[0.9939501,0.000725063,0.004278331,0.0006670921,0.00003052083,0.0003488873],"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":[0.0002627342,0.0008489065,0.1390433,0.001319362,0.0003846207,0.00001241988,0.01458514,0.0002631184,0.02710624,0.5292323,0.2852436,0.001698216],"study_design_scores_gemma":[0.000692788,0.0003015838,0.09446871,0.002714205,0.0003403173,0.0001189371,0.001176096,0.0002626244,0.1689082,0.01889332,0.711234,0.0008892359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4197648,0.05819416,0.000006703073,0.1475146,0.00725325,0.002973888,0.0002310907,0.0002258874,0.3638356],"genre_scores_gemma":[0.9203613,0.01887556,0.001495495,0.003329678,0.002194803,0.000006566524,0.000001208748,0.00008689834,0.05364849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.510339,"threshold_uncertainty_score":0.9998616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05407986016226327,"score_gpt":0.2954207925078756,"score_spread":0.2413409323456124,"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."}}