{"id":"W6929267199","doi":"10.5061/dryad.msbcc2fwk","title":"Primary detection records for aquatic nonindigenous species in global estuarine and marine ecosystems and the Great Lakes","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Fisheries and Oceans Canada","funders":"","keywords":"Population; Ecosystem; Aquatic ecosystem; Marine ecosystem; Taxon; Estuary; Global biodiversity; Abundance (ecology)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008331438,0.0003200196,0.0002434763,0.002562831,0.0003370579,0.0006603153,0.0004165979,0.000191717,0.002141769],"category_scores_gemma":[0.002993055,0.0002315318,0.0003838765,0.003106335,0.0004465394,0.0008996594,0.001364088,0.0003037007,0.0003171624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005040399,"about_ca_system_score_gemma":0.0006577427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03927089,"about_ca_topic_score_gemma":0.08712715,"domain_scores_codex":[0.9993001,0.00008952099,0.0001166149,0.0002945125,0.0001221647,0.00007693705],"domain_scores_gemma":[0.9955769,0.0008674383,0.002356241,0.0003046194,0.0006816452,0.0002133131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003450755,0.000006629552,0.9758182,0.0009809756,0.0002101591,0.0001164308,0.001761748,0.0001989981,0.001151009,0.0001791128,0.002198764,0.01734347],"study_design_scores_gemma":[8.243857e-7,0.00001094578,0.9955484,0.0001168236,0.00004829073,0.00006281515,0.0005139179,0.00009574906,0.0001706583,0.0000514111,0.003374386,0.000005861756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9526886,0.008579525,0.001709954,0.0004100366,0.00007300601,0.00003057831,0.03133644,0.00009300995,0.005078859],"genre_scores_gemma":[0.9784542,0.003175727,0.002115604,0.0002150626,0.00006279592,0.0000395984,0.01453372,0.00002536846,0.001377994],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9607291,"threshold_uncertainty_score":0.07808459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517298680185253,"score_gpt":0.2693499012936223,"score_spread":0.2441769144917698,"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."}}