{"id":"W2791097299","doi":"10.7287/peerj.preprints.26752v1","title":"What and where? Identifying high-risk aquatic invasive species and hotspots of suitable habitat in the Arctic","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Fisheries and Oceans Canada","funders":"","keywords":"Arctic; Habitat; Benthos; Global warming; Environmental science; Climate change; The arctic; Oceanography; Benthic zone; Geography; Effects of global warming on oceans; Zooplankton; Ecology; Fishery; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003449056,0.0002214407,0.0002133677,0.000845382,0.000490479,0.0007456801,0.0002099289,0.0002464071,0.0006396646],"category_scores_gemma":[0.001169008,0.0001246845,0.0003138946,0.0007517271,0.000348874,0.0002946485,0.0004082322,0.0001183743,0.00008361508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009810681,"about_ca_system_score_gemma":0.001388043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4154182,"about_ca_topic_score_gemma":0.5725262,"domain_scores_codex":[0.9998558,0.00003001195,0.000005836209,0.00003425616,0.00002504232,0.00004907151],"domain_scores_gemma":[0.9994999,0.0001617007,0.000130009,0.00001779709,0.00009761294,0.00009301944],"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":[0.00009968859,0.00001481303,0.973472,0.00006208091,0.00006809669,0.0001224108,0.0005989641,0.01361022,0.001792999,0.0003120331,0.0003876805,0.009459057],"study_design_scores_gemma":[0.000003707882,0.00002044932,0.9646862,0.00002899614,0.00005534403,0.00008307298,0.0023357,0.03121706,0.0005554353,0.0004067189,0.0005881902,0.00001906607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985443,0.00008939042,0.000470127,0.00005253298,0.000001654283,0.000003769677,0.0002679104,0.000009451046,0.0005608469],"genre_scores_gemma":[0.9989792,0.00009513171,0.0005691104,0.000007829452,0.000001895933,0.00000187611,0.0002040636,0.000002251932,0.0001387067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4154182,"threshold_uncertainty_score":0.8260004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923401289688222,"score_gpt":0.2593991675163322,"score_spread":0.23016515461945,"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."}}