{"id":"W4220789757","doi":"10.1002/ecy.3678","title":"Functional trait database for Nova Scotian coastal barren, green roof, and ruderal flora","year":2022,"lang":"en","type":"article","venue":"Ecology","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Ruderal species; Ecology; Biology; Biodiversity; Plant community; Geography; Database; Species richness; Habitat","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004965374,0.0009646261,0.0006963368,0.00751201,0.0009259145,0.001374782,0.001142687,0.000530185,0.01434904],"category_scores_gemma":[0.002847546,0.0003594966,0.0005495297,0.00849148,0.0003301351,0.0007073528,0.0008542003,0.0005524947,0.007011109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005070901,"about_ca_system_score_gemma":0.007691617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7233542,"about_ca_topic_score_gemma":0.8533624,"domain_scores_codex":[0.9995201,0.00002249496,0.00006855732,0.0001138366,0.0001784713,0.00009661346],"domain_scores_gemma":[0.9963759,0.0004103906,0.0004194838,0.0002865125,0.002008039,0.0004996588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001099958,0.0001586845,0.2016277,0.007503743,0.000462133,0.001239218,0.00162417,0.002671865,0.01185228,0.003818629,0.6503351,0.1176066],"study_design_scores_gemma":[0.00008579536,0.00003363177,0.3642024,0.0008463105,0.0001046542,0.0002624522,0.000679162,0.001214909,0.0009308988,0.0006286241,0.630914,0.00009730105],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01504175,0.0008335598,0.0007252412,0.00005760961,0.00002949496,0.00007186952,0.9761335,0.0006128415,0.006494047],"genre_scores_gemma":[0.02192025,0.0005091599,0.003286644,0.00007591726,0.000008241318,0.000136816,0.9710986,0.0001599666,0.002804369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2766458,"threshold_uncertainty_score":0.5565501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464224443513054,"score_gpt":0.2239090684376476,"score_spread":0.1992668240025171,"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."}}