{"id":"W2792793782","doi":"10.1016/j.ecolmodel.2018.03.004","title":"Reproducing reproduction: How to simulate mast seeding in forest models","year":2018,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Mast (botany); Ecology; Computer science; Biology","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":[0.0007123413,0.0001575298,0.0002213608,0.00004635827,0.0003559923,0.00002793877,0.0001890777,0.0001249944,0.0005265656],"category_scores_gemma":[0.0001361792,0.0001337393,0.00004571792,0.0003257536,0.0002118183,0.0002843374,0.0003984527,0.0002146285,0.0003784262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001846244,"about_ca_system_score_gemma":0.000004227514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006513765,"about_ca_topic_score_gemma":0.000465329,"domain_scores_codex":[0.9981446,0.00004221889,0.0002301063,0.0009719524,0.0001463257,0.0004647521],"domain_scores_gemma":[0.9994829,0.00005815312,0.00005817356,0.0002925713,0.0000196911,0.0000885527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004129647,0.00008332725,0.1240786,0.000001717606,0.00000288648,0.00001624394,0.0005450459,0.8737188,0.0004969371,0.0001702974,0.0002133257,0.0006314978],"study_design_scores_gemma":[0.0002405249,0.0005928842,0.1885526,0.00001841697,0.00001504784,0.00001096414,0.0003208538,0.7985814,0.0003386906,0.009847122,0.001104051,0.0003774324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630352,0.00001758601,0.02979274,0.001832945,0.0002345765,0.0002747669,6.199731e-7,0.0000804618,0.004731076],"genre_scores_gemma":[0.9882787,0.00001208496,0.01033769,0.0002401831,0.0002471983,0.00003714151,7.527834e-7,0.0000113224,0.0008348969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07513738,"threshold_uncertainty_score":0.5765524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0744187342767221,"score_gpt":0.2684084201134065,"score_spread":0.1939896858366844,"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."}}