{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01620964,0.001052894,0.0005666013,0.008601699,0.003384658,0.007490912,0.002750798,0.001984986,0.01216297],"category_scores_gemma":[0.03856044,0.0006158213,0.001031783,0.004947172,0.007825186,0.01201831,0.005974412,0.001909265,0.0008224012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004366396,"about_ca_system_score_gemma":0.005266667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002908675,"about_ca_topic_score_gemma":0.002740273,"domain_scores_codex":[0.9899486,0.006759388,0.0005734118,0.0009825439,0.001483168,0.0002527922],"domain_scores_gemma":[0.9606907,0.02783932,0.002337966,0.002237274,0.005417016,0.001477621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001186505,0.0001273362,0.005941024,0.001048482,0.0001040629,0.0007278442,0.03343053,0.02411925,0.001514293,0.8428018,0.005675462,0.08439127],"study_design_scores_gemma":[0.00004959422,0.00009860111,0.002288715,0.0008712591,0.00009014625,0.000371617,0.02648041,0.08420508,0.0008264813,0.8287289,0.05590432,0.00008483321],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07054981,0.0005717605,0.8745244,0.01256435,0.0002111209,0.001228258,0.0009942582,0.0004970854,0.03885904],"genre_scores_gemma":[0.3666775,0.0003699611,0.6288317,0.0002782097,0.00004763339,0.001065816,0.0009015507,0.00007029703,0.00175748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01620964,"threshold_uncertainty_score":0.08572572,"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."}}