{"id":"W4382724863","doi":"10.1139/facets-2022-0200","title":"A decision framework for the management of established biological invasions","year":2023,"lang":"en","type":"article","venue":"FACETS","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Royal Roads University; University of Waterloo","funders":"","keywords":"Harm; Context (archaeology); Environmental resource management; Control (management); Business; Triage; Management by objectives; Management science; Risk analysis (engineering); Environmental planning; Computer science; Psychology; Geography; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002876896,0.00005229862,0.00007209171,0.00001210818,0.000148267,0.00000578506,0.0002223296,0.00007752585,0.004562809],"category_scores_gemma":[0.00007012218,0.00002944768,0.00004089818,0.0002367171,0.0001210894,0.00003424473,0.0002205479,0.00005943196,0.001973704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001683095,"about_ca_system_score_gemma":0.000002311635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007972348,"about_ca_topic_score_gemma":0.00001498426,"domain_scores_codex":[0.9994771,0.00001692324,0.0001134014,0.000137973,0.00009970993,0.0001548932],"domain_scores_gemma":[0.9993407,0.0004158395,0.00003402458,0.0001823808,0.000002983368,0.00002403058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002215117,0.0006252036,0.3136435,0.00004385587,0.0001510303,0.00004594267,0.001651015,0.003323299,0.006188928,0.04448044,0.3290665,0.3005588],"study_design_scores_gemma":[0.0003109409,0.0001188995,0.9342873,0.00002724069,0.00003860516,0.000001131416,0.0005891606,0.002333506,0.001082638,0.05153147,0.009577504,0.0001016401],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730887,0.000008322592,0.02470247,0.000599516,0.0002835072,0.0004572886,0.000008687889,0.0000353801,0.0008160734],"genre_scores_gemma":[0.9827371,0.00004095256,0.01622242,0.0001720424,0.000008494701,0.0001046455,0.000006381031,0.00000393434,0.0007039899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6206438,"threshold_uncertainty_score":0.9988034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08894356972639501,"score_gpt":0.3041599710594955,"score_spread":0.2152164013331005,"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."}}