{"id":"W2903123181","doi":"10.1002/ecy.2573","title":"Multiple drivers of contrasting diversity–invasibility relationships at fine spatial grains","year":2018,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Ecology; Species richness; Spatial ecology; Diversity (politics); Observational study; Scale (ratio); Contrast (vision); Biology; Geography; Statistics; Mathematics; Computer science","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":[0.0280871,0.0008242654,0.001645141,0.005959882,0.0007629541,0.004238135,0.001373378,0.001151229,0.001966287],"category_scores_gemma":[0.0608831,0.0006273674,0.003102524,0.005032094,0.003518707,0.003746234,0.003289229,0.001694965,0.000142962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007497808,"about_ca_system_score_gemma":0.0007089009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001818281,"about_ca_topic_score_gemma":0.002118135,"domain_scores_codex":[0.9828212,0.008025297,0.002072217,0.004342357,0.002259327,0.0004795148],"domain_scores_gemma":[0.7992733,0.1544948,0.02764915,0.01246057,0.004333071,0.001789104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004926918,0.00009213543,0.9146972,0.004684582,0.02774854,0.0004371915,0.00297556,0.001949835,0.006840629,0.008050824,0.0004275542,0.03160312],"study_design_scores_gemma":[0.0000828987,0.0002628021,0.9442373,0.0009053739,0.01316433,0.0004535038,0.003066287,0.003195549,0.002182013,0.02901566,0.003320874,0.0001133633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9101832,0.0598464,0.02179374,0.002475561,0.0001441771,0.0001231372,0.001074798,0.0001354155,0.004223583],"genre_scores_gemma":[0.9934162,0.001960589,0.003847028,0.0002602076,0.00004695202,0.00006067183,0.0002624957,0.00002887041,0.0001169809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0280871,"threshold_uncertainty_score":0.1485406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533775872872905,"score_gpt":0.2247297398985309,"score_spread":0.1993919811698019,"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."}}