{"id":"W4376643215","doi":"10.1111/ele.14242","title":"Will a large complex system be productive?","year":2023,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Productivity; Structural complexity; Species richness; Ecosystem; Ecology; Food web; Stability (learning theory); Biology; Economics; Computer science; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0001868435,0.0003317234,0.0005309969,0.00002765653,0.0004386457,0.0000439283,0.0004332428,0.0004445144,0.0002967478],"category_scores_gemma":[0.00003562399,0.000128783,0.0001905803,0.0002329758,0.0001292589,0.00007785406,0.0002265203,0.0007909292,0.0006613964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037175,"about_ca_system_score_gemma":0.000004990437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009478837,"about_ca_topic_score_gemma":0.003836904,"domain_scores_codex":[0.9979264,0.0001617584,0.000249285,0.0006473807,0.0002197444,0.0007954831],"domain_scores_gemma":[0.9993401,0.0003712101,0.0001659455,0.00004591174,0.00003823363,0.00003864756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006900252,0.00001357501,0.002735784,0.00004458439,0.0001178711,0.0007034134,0.00002466292,1.391964e-7,0.007566541,0.00001985042,0.9886971,0.0000696449],"study_design_scores_gemma":[0.00007663067,0.00009217602,0.1337023,0.00002460017,0.00004317003,0.0000362188,0.00008494801,0.000003928791,0.00001028589,0.000009331746,0.8656189,0.0002974544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1452933,0.00002966312,2.18387e-7,0.8519355,0.0006417697,0.0003280726,0.0007455465,0.0003951477,0.0006307447],"genre_scores_gemma":[0.0498486,0.00001965848,0.00001252858,0.9329043,0.0123508,0.0001084954,0.001456571,0.000006025061,0.003292997],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1309665,"threshold_uncertainty_score":0.8501133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05953109719173393,"score_gpt":0.2117921283423342,"score_spread":0.1522610311506003,"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."}}