{"id":"W2368017582","doi":"","title":"RESEARCHES INTO THE CLASSIFICATION OF THE FARMLAND IN TUMOTEZUO BANNER, INNER MONGOLIA","year":2004,"lang":"en","type":"article","venue":"Neimenggu Shi-da xuebao. Zhexue shehui kexue hanwen ban","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Banner; Arable land; Quarter (Canadian coin); Index (typography); Inner mongolia; Geography; Agricultural economics; Statistics; Mathematics; China; Computer science; Agriculture; Economics; 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":[0.001274798,0.0003279265,0.0003668723,0.0002240219,0.0004730817,0.0002243681,0.000943281,0.000219634,0.000175754],"category_scores_gemma":[0.000308437,0.0001831998,0.0001540045,0.001150144,0.0004933151,0.0003294935,0.00007235003,0.0007962002,0.0001317937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004450721,"about_ca_system_score_gemma":0.0002957398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03708939,"about_ca_topic_score_gemma":0.0592999,"domain_scores_codex":[0.9968997,0.000506944,0.0006025494,0.0005608528,0.000766419,0.0006635964],"domain_scores_gemma":[0.9981388,0.0003286195,0.0002315591,0.001006075,0.0001207138,0.0001742595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009143586,0.0005302947,0.6559506,0.0002810285,0.000277396,0.00010392,0.02805928,0.04203155,0.01334129,0.008088101,0.004252463,0.2461697],"study_design_scores_gemma":[0.001305675,0.0001864639,0.9604693,0.0001622135,0.00003602478,0.00002114713,0.001211714,0.00863937,0.003963592,0.004529001,0.01909745,0.0003780194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98033,0.0008089987,0.00002585571,0.005853641,0.0005513905,0.0005263038,0.000026154,0.00005204946,0.01182555],"genre_scores_gemma":[0.9982681,0.0001173011,0.0002310961,0.0002935021,0.0002649259,0.000002807654,0.00005958432,0.00001885389,0.0007438553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3045187,"threshold_uncertainty_score":0.9693227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972667019796255,"score_gpt":0.2462537059186435,"score_spread":0.216527035720681,"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."}}