{"id":"W2168665344","doi":"10.1111/nph.12490","title":"Indirect effects drive evolutionary responses to global change","year":2013,"lang":"en","type":"article","venue":"New Phytologist","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"National Science Foundation","keywords":"Biology; Interspecific competition; Competitor analysis; Competition (biology); Natural selection; Ecology; Experimental evolution; Selection (genetic algorithm); Storage effect; Population; Indirect effect; Global change; Niche; Evolutionary ecology; Evolutionary biology; Evolutionary dynamics; Climate change; Genetics; Gene","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":[0.0005341119,0.0004795262,0.000419442,0.0005268332,0.000455515,0.001380798,0.0003716002,0.0006226324,0.004543122],"category_scores_gemma":[0.001521927,0.0002403368,0.0003222042,0.0005078369,0.000953668,0.0006444259,0.001376596,0.0005846911,0.0003428152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006226986,"about_ca_system_score_gemma":0.0002577008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001624485,"about_ca_topic_score_gemma":0.004766418,"domain_scores_codex":[0.9996893,0.00008844869,0.00001346133,0.0001044407,0.00004611453,0.00005815319],"domain_scores_gemma":[0.9990471,0.000327053,0.0002528868,0.0001136356,0.000121018,0.0001383211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004607647,0.0002324355,0.6452945,0.0004030756,0.001164294,0.0008017683,0.001534793,0.0133871,0.2499917,0.01042293,0.0006838961,0.07562282],"study_design_scores_gemma":[0.00001678465,0.000169578,0.9794235,0.00002358749,0.0001885746,0.000198258,0.0006326899,0.004807832,0.004905476,0.007362118,0.002231158,0.00004034507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926574,0.0004159862,0.00107095,0.0001601521,0.000008422929,0.000006679767,0.0001178379,0.00002617268,0.005536502],"genre_scores_gemma":[0.9985825,0.0002556763,0.0004355644,0.00009425579,0.000009063604,0.000006879147,0.00007765983,0.00001606877,0.0005224214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004543122,"threshold_uncertainty_score":0.01519829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05809276376415556,"score_gpt":0.2516302032934433,"score_spread":0.1935374395292877,"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."}}