{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001409318,0.0004686224,0.0008559256,0.0005066794,0.0006453946,0.00100035,0.002523944,0.002517334,0.007133232],"category_scores_gemma":[0.009974666,0.0006826662,0.0007075739,0.0004741134,0.0005898825,0.001362539,0.0007862763,0.001210805,0.0006952547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006875307,"about_ca_system_score_gemma":0.0009249908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02129579,"about_ca_topic_score_gemma":0.01893421,"domain_scores_codex":[0.9997934,0.0001043952,0.00001522479,0.00003183528,0.00002806195,0.00002712446],"domain_scores_gemma":[0.9962975,0.002657658,0.000199978,0.0002529985,0.0003226289,0.0002692025],"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":[0.00001922499,0.00002444035,0.0009960002,0.00001904462,0.00001128113,0.00003156019,0.00003057035,0.9901489,0.0002031572,0.003733133,0.0003886795,0.004393876],"study_design_scores_gemma":[0.000008267895,0.000002121167,0.00005856962,0.000002235714,0.000003210604,0.000004972258,0.000003944022,0.9981461,0.00005018801,0.001612685,0.0001055112,0.000002338106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1978448,0.0003433202,0.7861718,0.001105245,0.0001706835,0.0001643132,0.000638707,0.002034899,0.01152618],"genre_scores_gemma":[0.8196511,0.0002074453,0.1740042,0.0001897534,0.00008622123,0.0002453498,0.0003877571,0.0007419282,0.004486488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02129579,"threshold_uncertainty_score":0.04234368,"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."}}