{"id":"W2276624893","doi":"10.2495/eid120351","title":"From brown shore to green shore: redevelopment of the Southeast False Creek lands in Vancouver, Canada","year":2012,"lang":"en","type":"article","venue":"WIT transactions on ecology and the environment","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Shore; Vegetation (pathology); Habitat; Redevelopment; Environmental science; Intertidal zone; Geography; Hydrology (agriculture); Environmental protection; Oceanography; Geology; Ecology; Civil engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001679973,0.00008481679,0.0001401955,0.00001970828,0.0001066991,0.000002976479,0.0001256681,0.00005355226,0.001924896],"category_scores_gemma":[0.000002494937,0.00004925294,0.00002438646,0.00004718923,0.0001142989,0.00002506422,0.000007057466,0.000135175,0.00001088161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001190787,"about_ca_system_score_gemma":0.00003606662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.575174,"about_ca_topic_score_gemma":0.9842532,"domain_scores_codex":[0.999339,0.00009707149,0.000150578,0.0001258275,0.0000919986,0.0001954962],"domain_scores_gemma":[0.999626,0.0001497515,0.00002493967,0.0001331723,0.000001681193,0.00006447034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003890631,0.00008868223,0.9217503,0.000004345962,0.000081118,0.000003534183,0.001799193,0.004907236,0.00001817653,0.00001666696,0.0003449468,0.07059675],"study_design_scores_gemma":[0.0005395157,0.00007262473,0.9760849,0.000005182706,0.00002448151,0.000004681731,0.001353018,0.0001602109,0.00007957288,0.0002160341,0.02136463,0.00009512126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950523,0.00008529822,0.0002767209,0.001978633,0.0005383732,0.0002436559,0.0002687004,0.000003252553,0.001553019],"genre_scores_gemma":[0.9977223,0.00004241822,0.00003697508,0.0004659053,0.00002282992,0.000007727926,0.00001794288,0.000001559966,0.001682299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4090793,"threshold_uncertainty_score":0.9989875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005394472983993875,"score_gpt":0.1488648396877813,"score_spread":0.1434703667037874,"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."}}