{"id":"W2390659702","doi":"","title":"Research on Calculation and Classification of Land Development Potentiality Based on ARCGIS","year":2012,"lang":"en","type":"article","venue":"Ground Water","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Arable land; Unit (ring theory); Foundation (evidence); Exploit; Index (typography); Land use; Geography; Environmental resource management; Environmental science; Environmental planning; Computer science; Civil engineering; Mathematics; Engineering; Agriculture; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007761978,0.00004880159,0.00005943254,0.000079802,0.0001228143,0.00002667034,0.00002930967,0.00004178881,0.0000885727],"category_scores_gemma":[0.000008102302,0.00002780862,0.00001139719,0.00004842228,0.00003782179,0.00006095008,0.000002884732,0.00007426086,0.0001134609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004908604,"about_ca_system_score_gemma":0.000009458876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007921,"about_ca_topic_score_gemma":0.0001856743,"domain_scores_codex":[0.9992392,0.0001251534,0.0001002994,0.0001038221,0.0002443222,0.0001871824],"domain_scores_gemma":[0.9997393,0.0000530919,0.0000163294,0.0001006941,0.00002945287,0.00006116065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001816653,0.00005894646,0.8936604,0.00002959322,0.000006889697,0.000001085562,0.000747005,0.0008903876,0.0004332457,0.00004143443,0.0001624269,0.1037869],"study_design_scores_gemma":[0.0001358908,0.00005182252,0.9855155,0.00001265147,0.000002253071,8.243065e-7,0.00002387211,0.008440296,0.001222946,0.00004698255,0.004500239,0.00004675307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945583,0.00001333714,0.0001073117,0.0001845018,0.00009941625,0.00006136903,0.000003029368,0.000007349142,0.004965369],"genre_scores_gemma":[0.9993411,0.000002182218,0.0002259771,0.00004890376,0.00006268924,1.132822e-7,0.0001242861,0.000001523602,0.0001932825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1037401,"threshold_uncertainty_score":0.1458348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09816290654224463,"score_gpt":0.3006992508024364,"score_spread":0.2025363442601918,"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."}}