{"id":"W2219825750","doi":"","title":"Towards Arctic Resource Governance of Marine Invasive Species","year":2015,"lang":"en","type":"article","venue":"University of Southern Denmark Research Portal (University of Southern Denmark)","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto; Tekes","keywords":"Resource (disambiguation); Arctic; Corporate governance; The arctic; Environmental resource management; Oceanography; Business; Geography; Environmental planning; Environmental science; Computer science; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015404,0.0002843081,0.0006206123,0.000261613,0.0003509475,0.00001225446,0.001705452,0.0002790919,0.09396261],"category_scores_gemma":[0.0005149112,0.0003453356,0.0003113752,0.0009309389,0.004390308,0.0002902886,0.002625105,0.000588242,0.003422022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002720302,"about_ca_system_score_gemma":0.0003117413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01755609,"about_ca_topic_score_gemma":0.01833562,"domain_scores_codex":[0.9964059,0.0004569028,0.000309151,0.000617638,0.001562832,0.0006475764],"domain_scores_gemma":[0.9975466,0.0003200272,0.0005884205,0.0007312007,0.0004032763,0.0004105033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002412853,0.0007717162,0.9115912,0.0003042037,0.0004499673,0.000795891,0.03263992,0.0003354171,0.002988155,0.00162498,0.04263952,0.003446126],"study_design_scores_gemma":[0.004648125,0.001165613,0.2848862,0.0002801574,0.0002219555,0.00004773672,0.6405572,0.0001986941,0.001254088,0.00364881,0.06216151,0.0009299119],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.673236,0.00004620942,0.00005383362,0.000345551,0.00003607816,0.0002862552,0.0003835139,0.00001507421,0.3255975],"genre_scores_gemma":[0.8856232,0.0001470974,0.0011191,0.00001676237,0.00003277125,1.031045e-7,0.00002844578,0.00002454097,0.113008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6267051,"threshold_uncertainty_score":0.9998999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03321842102537848,"score_gpt":0.2225145991031184,"score_spread":0.1892961780777399,"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."}}