{"id":"W4252023206","doi":"10.2458/azu_jrm_v56i6_merrill","title":"Defoliation, waterlogging and dung influences allocation patterns of Deschampsia caespitosa","year":2003,"lang":"en","type":"article","venue":"Journal of Range Management","topic":"Plant responses to water stress","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Wyoming","keywords":"Agronomy; Biology; Waterlogging (archaeology); Tiller (botany); Biomass (ecology); Herbivore; Shoot; Grazing; Growing season; Botany; Ecology; Wetland","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":[0.0003659729,0.0000674413,0.0001203194,0.00003370074,0.00004713031,0.00003429467,0.0001078371,0.00002420702,0.00002629142],"category_scores_gemma":[0.00001722408,0.00002581099,0.00003772007,0.00007706827,0.00001463892,0.0001422387,0.00002446991,0.00004422,9.77064e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001402185,"about_ca_system_score_gemma":0.000002252767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006371502,"about_ca_topic_score_gemma":0.0001234972,"domain_scores_codex":[0.9992777,0.00008790122,0.0002613132,0.00007581422,0.000189779,0.0001074875],"domain_scores_gemma":[0.9995984,0.00004769089,0.0002267053,0.00002558403,0.0000602461,0.00004130395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001690003,0.0001388282,0.7842249,0.000147557,0.000182306,0.0001423256,0.0009177064,0.0002021952,0.0727827,0.001322667,0.0002253624,0.1395445],"study_design_scores_gemma":[0.0002888351,0.0001805447,0.9805777,0.0001226186,0.00004382396,0.0000720153,0.0007021173,0.00001601385,0.009656056,0.0003086939,0.007935015,0.00009654627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989545,0.000219912,0.0001219418,0.0003785531,0.00007538653,0.00008220827,0.000003990549,0.000004495096,0.000159043],"genre_scores_gemma":[0.9991791,0.0003393358,0.0002928624,0.00005897175,0.00003352479,0.000001877532,0.000002016761,4.317776e-7,0.00009189349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1963529,"threshold_uncertainty_score":0.1052542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190227346120227,"score_gpt":0.201666336759957,"score_spread":0.1897640632987547,"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."}}