{"id":"W2809642170","doi":"10.1101/353920","title":"Food web networks shift across a precipitation gradient due to changes in community composition and species interactions","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Food web; Ecology; Environmental gradient; Invertebrate; Composition (language); Precipitation; Climate change; Community structure; Environmental science; Biology; Predation; Geography; Habitat","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":[0.0002648336,0.00008540244,0.0002022094,0.0006004231,0.0002138205,0.0004091513,0.0001741914,0.0001698138,0.0008767787],"category_scores_gemma":[0.001220148,0.0001502899,0.0002168844,0.000341636,0.0003012498,0.0002939891,0.0003542801,0.0002233895,0.00007695059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003314009,"about_ca_system_score_gemma":0.0001377793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005074788,"about_ca_topic_score_gemma":0.006668274,"domain_scores_codex":[0.9999026,0.00002821134,0.000005704239,0.00002657074,0.00001519495,0.00002176763],"domain_scores_gemma":[0.999419,0.0001522752,0.0002169603,0.00005437556,0.00006539358,0.00009208096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003139991,0.000120555,0.9024583,0.00006890715,0.0002663171,0.0002384641,0.0005304137,0.009839436,0.07260894,0.0007772089,0.0005047871,0.01227276],"study_design_scores_gemma":[0.000007546958,0.00003179437,0.9843322,0.000003264411,0.00002102783,0.00004840791,0.0001693487,0.0140236,0.0008052205,0.0004048229,0.0001480827,0.000004669614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993619,0.00001514166,0.0003779632,0.00001710075,8.826403e-7,0.000001880328,0.00007333547,0.000007793788,0.0001440733],"genre_scores_gemma":[0.9997264,0.00001228781,0.0001517305,0.000005107463,8.93995e-7,0.000002522698,0.0000627301,0.000001415026,0.0000368308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005074788,"threshold_uncertainty_score":0.01009053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0420274449334947,"score_gpt":0.2327769865307496,"score_spread":0.1907495415972549,"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."}}