{"id":"W1983048218","doi":"10.1007/s00334-012-0350-6","title":"Neolithic human impact on the landscapes of North-East Hungary inferred from pollen and settlement records","year":2012,"lang":"en","type":"article","venue":"Vegetation History and Archaeobotany","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Circle Cardiovascular Imaging","funders":"","keywords":"Woodland; Geography; Floodplain; Archaeology; Chalcolithic; Agriculture; Alluvium; Bronze Age; Alluvial plain; Coppicing; Vegetation (pathology); Ecology; Woody plant; Biology; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001693413,0.0001247361,0.0001848366,0.001295553,0.0002835745,0.0007063904,0.00020245,0.0001272383,0.001184697],"category_scores_gemma":[0.0004232801,0.0001388926,0.0001754947,0.001746711,0.0004740052,0.0003406722,0.0005487917,0.0001801705,0.0001132132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007072008,"about_ca_system_score_gemma":0.0003165111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02638504,"about_ca_topic_score_gemma":0.0552017,"domain_scores_codex":[0.9998783,0.00002015815,0.0000141722,0.00002635759,0.00001601832,0.00004501503],"domain_scores_gemma":[0.9997995,0.00005059957,0.00007007149,0.00001688027,0.00002623132,0.00003668576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002830023,0.00004441388,0.9709808,0.0000615797,0.0001681778,0.0007508168,0.002550215,0.000877805,0.003587344,0.0006689448,0.0002968524,0.01972997],"study_design_scores_gemma":[0.000001520521,0.00000404585,0.9993482,0.000003654957,0.000008586861,0.00005334987,0.0002919029,0.0000637201,0.00004519134,0.00001911691,0.0001596229,0.000001081875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993497,0.0001112993,0.00002168239,0.00000948406,9.939014e-7,9.850341e-7,0.000161733,8.763774e-7,0.0003433926],"genre_scores_gemma":[0.9995787,0.0001040862,0.00002855819,0.000003649029,0.000001419432,0.000001027434,0.0002027174,8.672279e-7,0.00007898302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02638504,"threshold_uncertainty_score":0.05246294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02903980759353046,"score_gpt":0.2459582818885484,"score_spread":0.2169184742950179,"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."}}