{"id":"W4322491808","doi":"10.1101/2023.02.24.529749","title":"Coexistence in Periodic Environments","year":2023,"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 Toronto; University of Guelph","funders":"University of Guelph","keywords":"Biodiversity; Forcing (mathematics); Competition (biology); Productivity; Climate change; Ecology; Variety (cybernetics); Storage effect; Restructuring; Environmental science; Economics; Climatology; Biology; Computer science; Geology","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":[0.0005583618,0.0001864813,0.0003429246,0.000696464,0.0006028584,0.0009121135,0.000399059,0.0004924792,0.001803157],"category_scores_gemma":[0.001892572,0.0001591202,0.0003930141,0.0002279559,0.001108428,0.000747704,0.001161688,0.0003643724,0.0001373615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005002868,"about_ca_system_score_gemma":0.0003016186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009940142,"about_ca_topic_score_gemma":0.0008603016,"domain_scores_codex":[0.9997097,0.00009047588,0.00001364414,0.00006130814,0.00005864453,0.00006629029],"domain_scores_gemma":[0.9989092,0.0004529059,0.0002806813,0.000101106,0.0001030755,0.0001529623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002937163,0.0001830021,0.0276082,0.0002887429,0.0002470634,0.001623699,0.001092262,0.2584727,0.05470253,0.6324471,0.00281864,0.02022238],"study_design_scores_gemma":[0.0000405066,0.0001306412,0.01309604,0.00003049264,0.00002518131,0.0007253787,0.0003037284,0.6699972,0.002091348,0.3119156,0.001594808,0.00004910263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9285259,0.0001867456,0.05969797,0.0002673344,0.00003547455,0.00002249605,0.00006367213,0.00008770722,0.01111288],"genre_scores_gemma":[0.9969144,0.00003121823,0.002438335,0.00003027373,0.00001174427,0.00001755478,0.0000240292,0.000007775056,0.0005245812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001803157,"threshold_uncertainty_score":0.006032169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04818884196542314,"score_gpt":0.207526022973874,"score_spread":0.1593371810084509,"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."}}