{"id":"W4312061763","doi":"10.3897/neobiota.78.95050","title":"Knowledge needs in economic costs of invasive species facilitated by canalisation","year":2022,"lang":"en","type":"article","venue":"NeoBiota","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Invasive species; Dreissena; Zebra mussel; Fishery; Introduced species; Suez canal; Ecology; Panama canal; Geography; Alien; Biology; Business; Mollusca; Bivalvia; Mussel; International trade","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":[0.0001740826,0.00006197051,0.0001027131,0.00004723309,0.00007686493,0.000002954951,0.0001475523,0.00003421627,0.03791782],"category_scores_gemma":[0.00001380444,0.0000666838,0.00002102824,0.0001586926,0.0001295234,0.00006443866,0.0001383794,0.00009463044,0.0006626036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008301036,"about_ca_system_score_gemma":0.00004149009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00459311,"about_ca_topic_score_gemma":0.01014364,"domain_scores_codex":[0.9994237,0.00009684675,0.0001686901,0.0001227216,0.00006039004,0.0001276432],"domain_scores_gemma":[0.9997511,0.00005848354,0.00005749462,0.0001050236,0.000002068677,0.0000258525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003322778,0.0002632488,0.6785935,0.000005265978,0.00001056719,0.000005808804,0.004895111,0.00197734,0.1237739,0.0004176083,0.187714,0.002310474],"study_design_scores_gemma":[0.002001406,0.0006208728,0.855841,0.00001132728,0.00004080314,0.0000137764,0.01134977,0.002913589,0.08104707,0.0004523818,0.04512224,0.0005857944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868234,0.00002022368,0.000004157,0.0001388379,0.0001483329,0.0001391631,0.0001031717,0.000006255555,0.01261649],"genre_scores_gemma":[0.9949295,0.000003747432,0.00001274744,0.00008242191,0.000004697376,0.00002270598,0.00005268069,0.000003824302,0.00488767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1772475,"threshold_uncertainty_score":0.9629617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495306734270888,"score_gpt":0.2211496891958558,"score_spread":0.2061966218531469,"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."}}