{"id":"W4221063050","doi":"10.1111/ddi.13501","title":"Economic costs of invasive bivalves in freshwater ecosystems","year":2022,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche","keywords":"Freshwater ecosystem; Damages; Economic cost; Economic impact analysis; Natural resource economics; Geography; Ecosystem; Ecology; Business; Environmental resource management; Economics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001111298,0.00003609187,0.00006723501,0.00001780611,0.0006476409,0.000002319534,0.00008823736,0.00002154484,0.01397795],"category_scores_gemma":[0.000008020602,0.00003855706,0.00002075674,0.00005014643,0.0001180263,0.00007358351,0.001029938,0.0000609492,0.0001680441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002507397,"about_ca_system_score_gemma":0.000008869865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004772398,"about_ca_topic_score_gemma":0.03703937,"domain_scores_codex":[0.9996434,0.00004924433,0.00007432297,0.00009834392,0.00004772524,0.00008689627],"domain_scores_gemma":[0.9998479,0.00003200176,0.00003214707,0.00005954162,0.000001487839,0.00002690867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006443515,0.00006243397,0.9935415,0.000001407924,0.000003193409,0.000003314435,0.0004315955,0.0001621747,0.0001865835,0.00123951,0.004337228,0.00002462909],"study_design_scores_gemma":[0.0005705065,0.00007377549,0.9919167,0.000003439991,0.00002854806,0.000007945559,0.001465529,0.0004085657,0.0005609219,0.001203931,0.003629043,0.0001310915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985377,0.000004698014,0.00003466596,0.0001037679,0.00007031111,0.00007929721,0.0006678241,0.000004413946,0.0004973459],"genre_scores_gemma":[0.9997175,0.00000391625,0.00001807578,0.00002811452,0.000002275716,0.000006386578,0.0001297888,7.833846e-7,0.00009320326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03226697,"threshold_uncertainty_score":0.9869234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137328485494287,"score_gpt":0.2038064001753051,"score_spread":0.1900735516258764,"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."}}