{"id":"W2899083683","doi":"10.1111/ele.13162","title":"Towards a multi‐trophic extension of metacommunity ecology","year":2018,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Metacommunity; Trophic level; Ecology; Spatial ecology; Biological dispersal; Interspecific competition; Spatial analysis; Foraging; Biology; Geography; Population; Remote sensing","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":[0.00194961,0.0004777865,0.0006121726,0.001591502,0.001079464,0.002355598,0.001547857,0.001243513,0.001864016],"category_scores_gemma":[0.004124893,0.0004315659,0.000914632,0.0009870285,0.003589048,0.005676684,0.002346027,0.003007041,0.0003492003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004231,"about_ca_system_score_gemma":0.001009367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002420457,"about_ca_topic_score_gemma":0.001901156,"domain_scores_codex":[0.9994689,0.0001864383,0.00002930666,0.0001282795,0.0001260219,0.00006109554],"domain_scores_gemma":[0.997803,0.0007597036,0.0003104626,0.0004621509,0.0004199937,0.0002446195],"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":[0.00001212708,0.00004112022,0.004974893,0.00007269169,0.0000387709,0.0001709933,0.0005586015,0.01997734,0.0007900514,0.9521924,0.001181207,0.01998991],"study_design_scores_gemma":[0.0000043163,0.00001231543,0.002066654,0.00003414684,0.000008691271,0.00009199078,0.0001085781,0.05221739,0.00008741307,0.9386673,0.0066874,0.00001386828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.115341,0.003072853,0.8034544,0.01234863,0.0003524426,0.0000836428,0.0002358949,0.0003593657,0.06475171],"genre_scores_gemma":[0.772971,0.00204703,0.2194223,0.000953947,0.0004172276,0.0001679286,0.0001431362,0.0000681775,0.003809332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002420457,"threshold_uncertainty_score":0.01031065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06297259353036073,"score_gpt":0.2373290215602291,"score_spread":0.1743564280298683,"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."}}