{"id":"W2791200217","doi":"10.1002/ecs2.2142","title":"Importance of the study context in community assembly processes: a quantitative synthesis of forest bird communities","year":2018,"lang":"en","type":"article","venue":"Ecosphere","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Groupe de recherche interuniversitaire en limnologie","keywords":"Biological dispersal; Ecology; Context (archaeology); Selection (genetic algorithm); Variation (astronomy); Geography; Biology; Population; 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":[0.01826987,0.0009310082,0.001596262,0.005672688,0.001115265,0.003501042,0.0006796913,0.0006476568,0.002965261],"category_scores_gemma":[0.04549814,0.0005697447,0.003223319,0.004559504,0.001586721,0.003012193,0.003122189,0.0007325931,0.0001505305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929493,"about_ca_system_score_gemma":0.001524825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005336529,"about_ca_topic_score_gemma":0.009603627,"domain_scores_codex":[0.9863681,0.009034406,0.001368132,0.00187978,0.001108259,0.0002414325],"domain_scores_gemma":[0.9164802,0.06848134,0.007725894,0.003667444,0.002984335,0.0006606275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001020815,0.0001538799,0.7267179,0.02169535,0.01824825,0.0005136229,0.01061981,0.04906232,0.01145033,0.02642169,0.001167715,0.1329284],"study_design_scores_gemma":[0.00009318319,0.0008696732,0.7295225,0.005790322,0.01630698,0.000658251,0.009498606,0.166391,0.003920483,0.04540289,0.02128596,0.0002602764],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7801791,0.026201,0.1809026,0.0007812061,0.00007103848,0.0006515672,0.00730996,0.0002456039,0.00365785],"genre_scores_gemma":[0.9695777,0.001263472,0.02768363,0.00004500199,0.00001372813,0.0004386517,0.0008127275,0.00002753315,0.0001375005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01826987,"threshold_uncertainty_score":0.09662145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454421771438014,"score_gpt":0.2740423665823827,"score_spread":0.2494981488680026,"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."}}