{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001680201,0.0001415797,0.0002097053,0.00009674862,0.0001164111,0.00001375339,0.0002566807,0.0001468672,0.003520312],"category_scores_gemma":[0.0007037913,0.000104768,0.00003850673,0.0003007454,0.0001481202,0.00007356522,0.0004323211,0.0001680164,0.0002648048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004285597,"about_ca_system_score_gemma":0.0004338657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.440782,"about_ca_topic_score_gemma":0.8138507,"domain_scores_codex":[0.9984925,0.0001713624,0.0002800485,0.0003141806,0.0003258861,0.0004160231],"domain_scores_gemma":[0.9991534,0.00006994811,0.00007582879,0.0001967347,0.000045042,0.0004590754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002063987,0.00008213106,0.9732376,7.412879e-7,0.00001298946,0.000003746534,0.0004207612,0.002699281,0.001652064,0.0001325052,0.004410332,0.01732724],"study_design_scores_gemma":[0.0005934789,0.0002880744,0.9924409,0.000003968535,0.00001863802,0.000001866156,0.0003042872,0.001025214,0.0007142759,0.003011688,0.001443376,0.0001541874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682188,0.000002282714,0.0003083113,0.0004000633,0.0000809514,0.0006812149,0.0000406173,0.00001232863,0.03025542],"genre_scores_gemma":[0.9933267,0.00001004123,0.005701707,0.0004884648,0.00002712046,0.00007172039,0.00008058796,0.00000545291,0.0002881966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3730687,"threshold_uncertainty_score":0.9973906,"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."}}