{"id":"W4309244382","doi":"10.1111/1365-2656.13845","title":"Breaking down the components of the competition‐colonization trade‐off: New insights into its role in diverse systems","year":2022,"lang":"en","type":"article","venue":"Journal of Animal Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amorfix (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biological dispersal; Competition (biology); Colonization; Competitor analysis; Trade-off; Coexistence theory; Ecology; Resource (disambiguation); Biology; Economics; Industrial organization; Computer science; Population","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":[0.004458028,0.0007181998,0.001781169,0.002215927,0.001917057,0.004607964,0.001393975,0.001561077,0.002002813],"category_scores_gemma":[0.008191396,0.0005199924,0.000989848,0.00162503,0.008690077,0.01109769,0.004836375,0.002269431,0.0002061365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00200639,"about_ca_system_score_gemma":0.001262101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003883576,"about_ca_topic_score_gemma":0.003814525,"domain_scores_codex":[0.9983754,0.0006259585,0.0001135731,0.0005094372,0.0002153504,0.000160282],"domain_scores_gemma":[0.9933161,0.003683287,0.001147139,0.0009361177,0.0003783451,0.0005390485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002586885,0.0001968082,0.1464716,0.001526602,0.0006254009,0.0004372498,0.007596277,0.04344721,0.02929106,0.6205267,0.0006926664,0.1489297],"study_design_scores_gemma":[0.00002165108,0.0002523118,0.115281,0.0001923379,0.0001295157,0.0003954192,0.00238338,0.0657581,0.001098796,0.8088588,0.005492048,0.0001367005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7323881,0.01818551,0.2122627,0.006958187,0.00007978814,0.0001049966,0.0002432047,0.0001476704,0.02962981],"genre_scores_gemma":[0.9797533,0.001924421,0.01755314,0.0002883917,0.00004458167,0.00004945667,0.00005518606,0.00002477974,0.0003066511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004607964,"threshold_uncertainty_score":0.02357656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110875051133616,"score_gpt":0.2196698785507746,"score_spread":0.2085611280394384,"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."}}