{"id":"W6948783264","doi":"10.5281/zenodo.11061860","title":"R code supplementing the article: \"Larval mortality from phenological mismatch can affect outbreak frequency and severity of a boreal forest defoliator\"","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Ottawa","funders":"","keywords":"Phenology; Outbreak; Taiga; Code (set theory); Affect (linguistics)","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001682505,0.0002312077,0.0002600073,0.000211753,0.0005481068,0.004415866,0.003458126,0.000110381,0.002018849],"category_scores_gemma":[0.0009221741,0.0001823635,0.00006216879,0.0005676823,0.0003371435,0.001499182,0.006378108,0.0005219097,0.0006353099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008484083,"about_ca_system_score_gemma":0.00001210138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002941249,"about_ca_topic_score_gemma":0.0002089417,"domain_scores_codex":[0.9967589,0.0008317941,0.0003268928,0.0008251924,0.0007841454,0.0004730694],"domain_scores_gemma":[0.9979855,0.00009026517,0.0002643791,0.001338481,0.0001582808,0.0001630499],"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":[0.00002657443,0.0002558368,0.001028066,0.0005839376,0.0007216357,0.0001706913,0.001406502,0.000003209725,0.0003084771,0.1236015,0.8509826,0.02091089],"study_design_scores_gemma":[0.0003688092,0.0001533083,0.01108928,0.0001228745,0.00008830789,0.00002893489,0.0002743681,0.001167694,0.00006553955,0.00300289,0.9833569,0.000281102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03586556,0.001433906,0.05475874,0.006491948,0.0004796193,0.003142839,0.008562266,0.003025046,0.8862401],"genre_scores_gemma":[0.9280852,0.00177895,0.01003452,0.0003742473,0.000600786,0.000001345229,0.005548999,0.006097305,0.04747862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8922197,"threshold_uncertainty_score":0.9988934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06961133711851183,"score_gpt":0.3079511557883776,"score_spread":0.2383398186698657,"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."}}