{"id":"W2355577321","doi":"","title":"Landscape Features of Cultivated Land in Yanqing County of Beijing Municipality","year":2005,"lang":"en","type":"article","venue":"","topic":"Environmental Changes in China","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Cultivated land; Geography; Land use; Beijing; Ring road; Productivity; Agriculture; Physical geography; China; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000271822,0.00009221141,0.0001589331,0.00002834544,0.00002108067,0.00000292787,0.0001913337,0.00005816979,0.00152295],"category_scores_gemma":[0.00002145996,0.00007710329,0.0000316767,0.0001493741,0.0001449532,0.00013192,0.0002125451,0.0001041798,0.00001784742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009775892,"about_ca_system_score_gemma":0.000001707335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001835629,"about_ca_topic_score_gemma":0.003977854,"domain_scores_codex":[0.9991655,0.00003898286,0.0002245562,0.0001674799,0.0002414842,0.0001619611],"domain_scores_gemma":[0.9996093,0.00005534118,0.0000853735,0.0002148848,0.000001532575,0.00003358581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001360962,0.000101779,0.9828398,0.00001158401,0.000003274844,7.73378e-7,0.0006054722,0.003486907,0.0110264,0.00003438505,0.0001935479,0.001682464],"study_design_scores_gemma":[0.0004148761,0.00002802811,0.9448308,0.00002819887,0.000004895644,0.000002163966,0.0002252538,0.001113162,0.05239305,0.00004364638,0.0008112252,0.0001046585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484261,0.00008536079,0.00001754634,0.00007600534,0.00001762865,0.00009308849,0.00001014054,0.00001153837,0.05126259],"genre_scores_gemma":[0.9970152,0.0000414653,0.002493578,0.00006913939,0.00001311007,0.00000270578,0.000006454858,0.000007708489,0.0003506118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05091198,"threshold_uncertainty_score":0.9993898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152338008438011,"score_gpt":0.2496908314931915,"score_spread":0.2381674514088114,"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."}}