{"id":"W4385619159","doi":"10.1093/biosci/biad056","title":"Hurdles and opportunities in implementing marine biosecurity systems in data-poor regions","year":2023,"lang":"en","type":"review","venue":"BioScience","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"European Social Fund; Red Sea Research Center, King Abdullah University of Science and Technology; King Abdullah University of Science and Technology","keywords":"Biosecurity; Geopolitics; Biological dispersal; Citizen science; Government (linguistics); Environmental planning; Environmental resource management; Business; Geography; Political science; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001661425,0.0002579723,0.00068232,0.0002712678,0.0001708711,0.00008541239,0.001056182,0.0001466262,0.0003558506],"category_scores_gemma":[0.0002708938,0.0002163466,0.00004028062,0.0007464025,0.0007227706,0.0004024211,0.004729139,0.0002700738,0.0001085688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529999,"about_ca_system_score_gemma":0.00008992804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003923875,"about_ca_topic_score_gemma":0.02113352,"domain_scores_codex":[0.9976397,0.0001970695,0.0006015159,0.0007977391,0.0002267087,0.0005373201],"domain_scores_gemma":[0.9988531,0.0002478783,0.0002463646,0.0005607512,0.000004248617,0.00008769552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003857564,0.000209944,0.04493525,0.01049228,0.00003117848,0.0005605266,0.0003308272,0.000003442771,0.00001001596,0.01751062,0.02234019,0.9035718],"study_design_scores_gemma":[0.00006059012,0.00001581582,0.004141772,0.001001647,0.00002001156,0.00002762721,0.0002169468,0.0001462846,1.515109e-7,0.0001315333,0.9939912,0.0002464219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009947947,0.9811036,0.000004912291,0.0004797612,0.0007263988,0.001465321,0.0003185388,0.00009040965,0.01481625],"genre_scores_gemma":[0.0001753394,0.9968672,0.00006986959,0.00004798607,0.00003936101,0.00007495883,0.0001211433,0.00001443932,0.00258971],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.971651,"threshold_uncertainty_score":0.9967282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2902271739305481,"score_gpt":0.3620914120986612,"score_spread":0.0718642381681131,"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."}}