{"id":"W4280546163","doi":"10.1007/s10530-022-02799-2","title":"Correction to: Managing biological invasions: the cost of inaction","year":2022,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Biology; Ecology; Environmental ethics","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000964065,0.0002734131,0.0004123471,0.00004336585,0.001490491,0.00004524235,0.0009737684,0.0001608954,0.003606682],"category_scores_gemma":[0.002070923,0.00008401909,0.0003193349,0.001158603,0.0003666686,0.00007289233,0.001109247,0.0006550899,0.00009301271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001955011,"about_ca_system_score_gemma":0.00001900315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004358337,"about_ca_topic_score_gemma":0.0003976321,"domain_scores_codex":[0.9970713,0.0008824296,0.0005559782,0.0006139335,0.0003499522,0.0005264669],"domain_scores_gemma":[0.9963588,0.002855776,0.0002662022,0.000187466,0.0001384272,0.0001933262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004178635,0.0005775663,0.02296902,0.000002581982,0.00004721349,0.00001500465,0.00007071402,0.00021389,0.8254281,0.01110117,0.02965006,0.1095068],"study_design_scores_gemma":[0.000346091,0.004672003,0.6487908,0.00003473418,0.00002653931,0.00008514662,0.00700938,0.0001650543,0.006342947,0.005052448,0.3268507,0.0006240607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786848,0.0003850104,0.00009337247,0.01251598,0.001503005,0.001219746,0.0001755954,0.0002213134,0.005201208],"genre_scores_gemma":[0.994642,0.0002596335,0.0001047882,0.003754459,0.000275203,0.0004815792,0.0001470168,0.000001818691,0.0003335073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8190851,"threshold_uncertainty_score":0.9998094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2532939877695887,"score_gpt":0.2608263781729833,"score_spread":0.007532390403394595,"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."}}