{"id":"W2387853150","doi":"","title":"The Reference and Enlightenment for Binhai New Area from Edmonton Ecological Network Planning","year":2011,"lang":"en","type":"article","venue":"Chinese Landscape Architecture","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landscape architecture; Ecological planning; Ecological network; Enlightenment; Environmental resource management; Environmental planning; Regional planning; Landscape planning; Business; Strategic planning; Ecology; Computer science; Geography; Environmental science; Urban planning; Civil engineering; Engineering; Ecosystem","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":[0.0001984694,0.0001807497,0.0001442026,0.000008408005,0.0003980725,0.00003078388,0.0002221846,0.0001026696,0.0008798717],"category_scores_gemma":[0.00004300729,0.0000960785,0.00004920576,0.00007289523,0.000128882,0.00005957454,0.0001971119,0.0001852188,0.00003682011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002275632,"about_ca_system_score_gemma":0.000004319402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002097585,"about_ca_topic_score_gemma":0.0007574608,"domain_scores_codex":[0.9989914,0.00006289742,0.0001679926,0.0003171717,0.000151461,0.0003091046],"domain_scores_gemma":[0.9992182,0.0003358173,0.00007091475,0.0002299441,0.00000114126,0.0001440111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008572077,0.0001537196,0.8961776,0.00001025269,0.00007236464,0.00001644675,0.0100619,0.005039068,0.003074713,0.0004879905,0.02271823,0.0613305],"study_design_scores_gemma":[0.0005472745,0.000187371,0.9110371,0.00001455532,0.0000203956,0.00001024375,0.0001035274,0.0009572559,0.0001326401,0.05699184,0.02978126,0.0002165213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871826,0.0006402016,0.00314554,0.0007866487,0.0001212665,0.000316643,0.0000261706,0.00004201552,0.007738899],"genre_scores_gemma":[0.9938713,0.00007157253,0.004683869,0.0006781829,0.0002021614,0.00003074126,0.00003983459,0.00001124745,0.0004110362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06111398,"threshold_uncertainty_score":0.9633978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690376117173615,"score_gpt":0.2337208924545622,"score_spread":0.206817131282826,"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."}}