{"id":"W3013435873","doi":"10.1111/geb.13082","title":"A conceptual map of invasion biology: Integrating hypotheses into a consensus network","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Conservation, Ecology, Wildlife Education","field":"Environmental Science","cited_by":255,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; Ministerio de Ciencia e Innovación; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia, Innovación y Universidades; Stiftung der Deutschen Wirtschaft; Grantová Agentura České Republiky; Natural Environment Research Council; Akademie Věd České Republiky; Austrian Science Fund; Agence Nationale de la Recherche; South African Agency for Science and Technology Advancement; Deutsche Forschungsgemeinschaft","keywords":"Field (mathematics); Ecology; Biology; Resource (disambiguation); Cluster analysis; Propagule pressure; Conceptual framework; Data science; Epistemology; Computer science; Sociology; Biological dispersal; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002208803,0.0001369796,0.0002262787,0.00002590502,0.0001665577,0.000007735802,0.0001532365,0.0001899598,0.0004914699],"category_scores_gemma":[0.0002728966,0.0001239351,0.0000644762,0.0004773749,0.001570214,0.00004906437,0.0001884236,0.00009991605,0.00005991069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003454423,"about_ca_system_score_gemma":0.00003634782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005939272,"about_ca_topic_score_gemma":0.001980039,"domain_scores_codex":[0.9988728,0.0001791881,0.0002935897,0.0003445427,0.00005853677,0.0002513628],"domain_scores_gemma":[0.999314,0.0002606404,0.0001809355,0.0001071797,0.0000224675,0.0001148116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004985714,0.00003636446,0.9863766,0.000005717455,0.00003048832,0.000001287266,0.0003146656,0.00001939881,0.0007447476,0.002880541,0.008258605,0.001281665],"study_design_scores_gemma":[0.0003113186,0.0004056204,0.9767957,0.000006581909,0.00002735781,0.000006471615,0.0007939672,0.0001316496,0.00005429653,0.009552353,0.01178619,0.0001285161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889764,0.0002585861,0.00005524131,0.009525993,0.0002896767,0.0002293052,0.00002956671,0.00004043806,0.0005948309],"genre_scores_gemma":[0.9909103,0.00002939915,0.004903887,0.004042298,0.00007093018,0.00001695613,0.00001941696,0.000003765422,0.000003033991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009580979,"threshold_uncertainty_score":0.5785518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175239188390905,"score_gpt":0.2392381681586393,"score_spread":0.2217142493195488,"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."}}