{"id":"W1821970228","doi":"10.1007/s10530-015-1008-y","title":"Evaluation of a new screening-level risk assessment tool applied to non-indigenous marine invertebrates in Canadian coastal waters","year":2015,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Ecoregion; Invertebrate; Expert opinion; Risk assessment; Indigenous; Biology; Marine invertebrates; Expert elicitation; Ecology; Environmental resource management; Marine ecosystem; Ecosystem; Computer science; Environmental science; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01509187,0.001261462,0.0004890996,0.003413086,0.001245102,0.001730027,0.001235076,0.0006434608,0.001061347],"category_scores_gemma":[0.03644396,0.0003054703,0.0008994815,0.002212875,0.0006635605,0.0009661388,0.001289668,0.0005020172,0.0002411624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008900912,"about_ca_system_score_gemma":0.0122411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5116035,"about_ca_topic_score_gemma":0.6922496,"domain_scores_codex":[0.9928203,0.001625624,0.000561564,0.0005375771,0.003978409,0.0004764251],"domain_scores_gemma":[0.969696,0.009610776,0.002987372,0.0007959266,0.01558494,0.001324994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001638045,0.0008684178,0.5736929,0.000940891,0.000394585,0.0004870784,0.004550032,0.02806622,0.01224088,0.0007757619,0.004111413,0.3722337],"study_design_scores_gemma":[0.0001920704,0.003636742,0.7855514,0.0003368564,0.000436552,0.0002825619,0.004141934,0.183211,0.01281023,0.000603739,0.008500844,0.0002961158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711969,0.0001976655,0.01941843,0.000419563,0.0000443113,0.001738284,0.00152303,0.0005967849,0.004865018],"genre_scores_gemma":[0.8800314,0.0003173179,0.115634,0.0001187655,0.00001712273,0.000698084,0.001676569,0.00004045521,0.0014663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4883965,"threshold_uncertainty_score":0.9825455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2142019863552495,"score_gpt":0.2941419764187488,"score_spread":0.0799399900634993,"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."}}