{"id":"W3138937362","doi":"10.1101/2021.03.24.436596","title":"Metacommunities from bacteria to birds: stronger environmental selection in mediterranean than in tropical ponds","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Agencia Estatal de Investigación; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España","keywords":"Metacommunity; Biological dispersal; Ecology; Mediterranean climate; Temperate climate; Benthic zone; Biodiversity; Biology; Relative species abundance; Geography; Environmental science; Abundance (ecology)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004379781,0.0001857402,0.0003368473,0.0009814346,0.0004267368,0.0005482521,0.0002034349,0.0001916442,0.0009970621],"category_scores_gemma":[0.001012712,0.0001290609,0.0002010187,0.0005764961,0.0005898353,0.0002306756,0.0008546428,0.0001388143,0.0001119428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00026868,"about_ca_system_score_gemma":0.0001586057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00376847,"about_ca_topic_score_gemma":0.009432382,"domain_scores_codex":[0.9996054,0.000093758,0.00002581923,0.0001309683,0.00005086084,0.00009317486],"domain_scores_gemma":[0.999052,0.000185665,0.0004000848,0.00007579431,0.0001193909,0.000167162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001430013,0.00001796556,0.9849721,0.00002342532,0.0000494699,0.00005867748,0.0006550945,0.0001097071,0.009805744,0.00005052717,0.0000346215,0.004079695],"study_design_scores_gemma":[0.000001510085,0.00001780406,0.9991865,0.00000242066,0.000006444058,0.00003580382,0.000381203,0.0001578803,0.0001286691,0.00003216905,0.00004829505,0.000001467345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996828,0.00003195967,0.00008034467,0.000004201642,4.490397e-7,0.000001520293,0.00002001891,0.000002565034,0.0001761892],"genre_scores_gemma":[0.9998664,0.000009115044,0.0000599203,0.000004685248,8.661219e-7,0.000001488738,0.00002209269,8.369066e-7,0.00003464909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00376847,"threshold_uncertainty_score":0.007493079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444883166874969,"score_gpt":0.2105948532899177,"score_spread":0.196146021621168,"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."}}