{"id":"W2147102449","doi":"10.1021/es102655j","title":"Evaluating Efficacy of an Environmental Policy to Prevent Biological Invasions","year":2011,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; McGill University; Transport Canada; Ministère des Transports; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Ballast; Enforcement; Environmental resource management; Environmental planning; Business; Ecosystem services; Biodiversity; Environmental impact assessment; Risk analysis (engineering); Environmental science; Ecosystem; Ecology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.05983218,0.001175435,0.00119997,0.002039581,0.0009306299,0.002081868,0.001552776,0.002559358,0.002143983],"category_scores_gemma":[0.1091372,0.0003261906,0.001680224,0.001417977,0.00314292,0.002730198,0.001836458,0.001722876,0.0001991681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004862126,"about_ca_system_score_gemma":0.006719994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008941115,"about_ca_topic_score_gemma":0.009431454,"domain_scores_codex":[0.9491096,0.03276089,0.003919627,0.002333095,0.008908332,0.002968567],"domain_scores_gemma":[0.8030269,0.1424445,0.03661951,0.005845482,0.009895755,0.002167997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.009311071,0.008551501,0.3201702,0.001829856,0.005000921,0.0004015663,0.0009383762,0.4826111,0.007216901,0.04331592,0.001690054,0.1189625],"study_design_scores_gemma":[0.002522955,0.07231449,0.5739962,0.0006137678,0.003675069,0.0001232781,0.00392539,0.2751499,0.02609074,0.02929355,0.01200445,0.0002902598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597355,0.0005474407,0.008055535,0.001534663,0.00009950776,0.001440178,0.0006278179,0.00005761375,0.02790185],"genre_scores_gemma":[0.9932198,0.0001954265,0.004896273,0.0001807933,0.00004251139,0.0004971159,0.0001917801,0.00000480158,0.0007715402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05983218,"threshold_uncertainty_score":0.3164266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06081593891476379,"score_gpt":0.2906644903982506,"score_spread":0.2298485514834868,"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."}}