{"id":"W2793636319","doi":"10.1016/j.scitotenv.2018.01.302","title":"Quantitative framework for validating two methodologies that are used to enumerate viable organisms for type approval of ballast water management systems","year":2018,"lang":"en","type":"review","venue":"The Science of The Total Environment","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University","keywords":"Ballast; Statistics; Computer science; Reliability engineering; Risk analysis (engineering); Mathematics; Engineering; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2082396,0.002239353,0.001920629,0.009709604,0.002330127,0.007236432,0.004712949,0.003361907,0.002319651],"category_scores_gemma":[0.1949883,0.001080041,0.002643411,0.004234759,0.01120025,0.004229012,0.005579272,0.002776826,0.0008011196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009260459,"about_ca_system_score_gemma":0.01781548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005802441,"about_ca_topic_score_gemma":0.005345254,"domain_scores_codex":[0.6929852,0.1978184,0.01936979,0.01070157,0.07615211,0.002972932],"domain_scores_gemma":[0.7113984,0.1816518,0.03843048,0.02491158,0.04218233,0.001425378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007385497,0.001694394,0.04260805,0.004871305,0.0007509382,0.0004129758,0.002981949,0.05286098,0.03021675,0.4454862,0.00717845,0.4101995],"study_design_scores_gemma":[0.0007007301,0.01669128,0.1441292,0.006994255,0.001172219,0.001945271,0.006260606,0.1740657,0.0794348,0.4391955,0.128282,0.001128431],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01532086,0.001881395,0.9618528,0.001308143,0.0001645848,0.003335388,0.0006228649,0.0002800402,0.01523399],"genre_scores_gemma":[0.1754671,0.0006083582,0.8150009,0.0007402455,0.0000867918,0.006075827,0.0007778078,0.00005616256,0.001186771],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2082396,"threshold_uncertainty_score":0.9763815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1901870777605394,"score_gpt":0.3647705601939943,"score_spread":0.1745834824334549,"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."}}