{"id":"W2040311907","doi":"10.1007/s10661-015-4365-1","title":"Performance of wetland forbs transplanted into marshes amended with oil sands processed water","year":2015,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Plant responses to water stress","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Biodiversity Monitoring Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude; Suncor Energy Incorporated; University of Alberta; Canadian Natural Resources Limited; Shell Canada; Alberta Water Research Institute","keywords":"Wetland; Forb; Land reclamation; Oil sands; Marsh; Transpiration; Stomatal conductance; Seedling; Phytoremediation; Environmental science; Botany; Photosynthesis; Agronomy; Biology; Ecology; Soil water; Grassland","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001036744,0.0001380509,0.0001467711,0.0000102617,0.00008864437,0.00003388783,0.00009917975,0.00004071327,0.00001600477],"category_scores_gemma":[5.881707e-7,0.00004650752,0.00001786643,0.00003293292,0.00006671278,0.0001612564,0.00004095719,0.0000811662,0.000002347516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003878274,"about_ca_system_score_gemma":0.000005258923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006769344,"about_ca_topic_score_gemma":0.00001577159,"domain_scores_codex":[0.9991884,0.00003070481,0.0001335352,0.0001981752,0.0002512116,0.0001980091],"domain_scores_gemma":[0.9997852,0.00002575707,0.00004045602,0.0000394083,0.000004892396,0.0001043207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002384033,0.00007358189,0.3675377,0.00003242027,0.00001682169,0.000007057256,0.0002542554,0.0000131195,0.5938977,2.978425e-7,0.000001501109,0.03792717],"study_design_scores_gemma":[0.0004588312,0.000752899,0.5027349,0.0001054664,0.00001827997,0.00001977813,0.0006850371,0.00007808374,0.4941264,0.000003741777,0.0008614223,0.0001551208],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994262,0.00006526039,0.000001062755,0.00008856163,0.00005221044,0.00005717131,0.00002018106,0.00001814889,0.0002711459],"genre_scores_gemma":[0.9990008,0.0002544995,0.0003460259,0.000003375784,0.00006770348,0.00002225007,0.00006626622,0.00000139131,0.0002376244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1351973,"threshold_uncertainty_score":0.1896522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350643612110405,"score_gpt":0.2084991138732998,"score_spread":0.1949926777521957,"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."}}