{"id":"W2353335131","doi":"","title":"An Index System for Evaluation of Land Quality and Its Feasibility for Agri-E nvironment in Water Net Plain Area","year":2004,"lang":"en","type":"article","venue":"","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Industrialisation; Land use; Urbanization; Land development; Business; Geography; Land cover; Agricultural land; Population; Agriculture; Agricultural economics; Natural resource economics; Environmental planning; Economic growth; Economics; Engineering; Civil engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003633091,0.001006735,0.0007400485,0.01225652,0.001139798,0.002774483,0.0008894815,0.0007174152,0.006600872],"category_scores_gemma":[0.005671989,0.0002397525,0.0008797076,0.01235819,0.0005733704,0.002833176,0.001701703,0.0006839194,0.002381504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282944,"about_ca_system_score_gemma":0.002068594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01511562,"about_ca_topic_score_gemma":0.01940794,"domain_scores_codex":[0.995987,0.000791955,0.0006407382,0.0004972784,0.001833068,0.0002499296],"domain_scores_gemma":[0.9950478,0.0007546076,0.0006080583,0.000315638,0.003024706,0.0002493183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007420856,0.0005428575,0.3928678,0.001216485,0.0004195126,0.0002291475,0.001328018,0.01127997,0.01215663,0.01509921,0.05941267,0.5047056],"study_design_scores_gemma":[0.000193447,0.001114363,0.700296,0.0004720872,0.0003888628,0.0005397837,0.005127145,0.1127591,0.01560865,0.01306104,0.1500987,0.0003407738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4072898,0.003101692,0.3028226,0.0007246378,0.0007497238,0.005330908,0.09791461,0.008911871,0.1731542],"genre_scores_gemma":[0.6793197,0.001033245,0.2576482,0.0001646028,0.0001016149,0.003575258,0.04427075,0.0002227662,0.0136638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01511562,"threshold_uncertainty_score":0.03005528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0826889530295813,"score_gpt":0.3343385685536734,"score_spread":0.2516496155240922,"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."}}