{"id":"W4220713276","doi":"10.21203/rs.3.rs-1304354/v1","title":"A Temporal Assessment of Risk of Non-indigenous Species Introduction by Ballast Water to Canadian Coastal Waters Based on Environmental Similarity","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Transport Canada","keywords":"Ballast; Indigenous; Similarity (geometry); Environmental science; Oceanography; Geography; Environmental resource management; Ecology; Geology; Computer science; Biology; Artificial intelligence","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":[0.0007442613,0.0002720119,0.0001770849,0.001080059,0.0004493298,0.000955971,0.0004330734,0.000237933,0.00110539],"category_scores_gemma":[0.002885339,0.0001148922,0.0004625394,0.001088846,0.0004133299,0.0004973258,0.0007545613,0.0003264358,0.00008694846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003588262,"about_ca_system_score_gemma":0.002310315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7327711,"about_ca_topic_score_gemma":0.8068002,"domain_scores_codex":[0.9996159,0.00005788157,0.00002033094,0.00008035861,0.0001486921,0.0000767355],"domain_scores_gemma":[0.9984108,0.0003546691,0.0004555429,0.00006304216,0.0005552455,0.0001607822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000149008,0.00003330304,0.9516407,0.0000311706,0.0001280189,0.0001125079,0.0004139328,0.03563554,0.001302815,0.0004696287,0.0002703566,0.009813007],"study_design_scores_gemma":[0.000003137952,0.00007209858,0.9086918,0.00001244414,0.00004777475,0.00004050285,0.000993452,0.08888941,0.0004969215,0.0002575118,0.0004718858,0.00002316924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971636,0.00003809956,0.001088669,0.00003579621,0.000002289539,0.00001444557,0.000360624,0.00001787665,0.001278618],"genre_scores_gemma":[0.9987746,0.0000301976,0.000580961,0.000004390313,8.288671e-7,0.000004560256,0.0002337485,0.000002618642,0.0003680395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2672289,"threshold_uncertainty_score":0.5376053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526118619945039,"score_gpt":0.2888675629736496,"score_spread":0.2736063767741992,"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."}}