{"id":"W4220777333","doi":"10.1016/j.cub.2022.03.009","title":"The diversity of biotic interactions complements functional and phylogenetic facets of biodiversity","year":2022,"lang":"en","type":"article","venue":"Current Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; Biodiversa+","keywords":"Biology; Biodiversity; Ecology; Phylogenetic diversity; Species richness; Ecosystem; Gamma diversity; Beta diversity; Evolutionary biology; Diversity (politics); Macroecology; Trophic level; Phylogenetic tree","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007494191,0.00003646543,0.00005523397,0.00001326078,0.0004547116,0.000001521858,0.0001090769,0.000007202755,0.01889673],"category_scores_gemma":[0.000007835808,0.00002920618,0.00002604481,0.00007720269,0.0003255529,0.00001250418,0.001125359,0.0000505407,0.00003029955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008849001,"about_ca_system_score_gemma":0.000002488921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001068132,"about_ca_topic_score_gemma":0.00007610639,"domain_scores_codex":[0.9996232,0.00005412777,0.00007756895,0.00009246524,0.00007241175,0.00008022477],"domain_scores_gemma":[0.9997982,0.00003690864,0.00007188808,0.00006586213,0.000006735576,0.00002036508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002178268,0.00009704618,0.9831744,0.000003308159,0.0000116442,5.326305e-8,0.0001045106,0.000008319709,0.006825357,0.0005985831,0.006450425,0.002704559],"study_design_scores_gemma":[0.0002108623,0.00007141885,0.9212843,5.483095e-7,0.00001088121,0.000001502316,0.0009448937,0.00002103097,0.000356234,0.0001299337,0.07693268,0.0000357653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981407,0.0001669674,0.00004146041,0.0001672085,0.0004117298,0.0000643017,0.0005891104,0.000003035181,0.0004154649],"genre_scores_gemma":[0.9997812,0.00008804487,0.000001923279,0.00001714773,0.000002690649,0.000002066073,0.00009047483,4.537344e-7,0.0000159806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07048225,"threshold_uncertainty_score":0.9820001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08837977715286809,"score_gpt":0.2833520307171078,"score_spread":0.1949722535642397,"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."}}