{"id":"W3107824081","doi":"10.33568/rbs.2460","title":"Game Damage tendencies by Kaposvár Forestry - from 1998 to 2017","year":2020,"lang":"en","type":"article","venue":"Regional and Business Studies","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Big game; Quarter (Canadian coin); Agriculture; Hectare; Human settlement; Geography; Environmental protection; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001165312,0.0001328601,0.0002687448,0.00001910313,0.0009270858,0.00006696043,0.0001546987,0.00005383444,0.00002468667],"category_scores_gemma":[0.0002829595,0.0001152796,0.00003961276,0.0001891174,0.0006193106,0.0001712094,0.0001365615,0.00006523109,0.00009998341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005938448,"about_ca_system_score_gemma":0.0001250481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247247,"about_ca_topic_score_gemma":0.0007144571,"domain_scores_codex":[0.9990862,0.00003693365,0.0001575225,0.0002813335,0.0002001542,0.0002378441],"domain_scores_gemma":[0.9993456,0.0002303346,0.00006745032,0.00005661418,0.0001503766,0.0001496293],"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":[0.00004150535,0.0000504797,0.03620419,0.00004558823,0.0002997761,0.000004977352,0.09897164,0.000005605003,0.00005785363,0.01459677,0.8479705,0.001751075],"study_design_scores_gemma":[0.0001696784,0.00001532277,0.09817204,0.00004446759,0.00003173375,3.171935e-7,0.07281718,0.000002953191,0.000003627851,0.007900978,0.8206222,0.000219502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7412581,0.01580229,0.00004892119,0.2339301,0.0004563858,0.0002156364,0.0001149641,0.00007640013,0.008097177],"genre_scores_gemma":[0.9773575,0.01066347,0.0002537849,0.006642241,0.002261662,0.00004773915,0.00003690024,0.0000112128,0.002725497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2360994,"threshold_uncertainty_score":0.7130488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347362093791528,"score_gpt":0.3386556510952858,"score_spread":0.203919441716133,"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."}}