{"id":"W1978729941","doi":"10.1111/jvs.12168","title":"Below‐ground opportunities in vegetation science","year":2014,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vegetation (pathology); Species richness; Ecology; Temperate climate; Ecosystem; Growing season; Environmental science; Productivity; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004992119,0.00008707926,0.0001582521,0.0004516776,0.0002728554,0.0001301301,0.000620022,0.00003027243,0.00006174851],"category_scores_gemma":[0.0005657578,0.00007025678,0.00003421845,0.001154579,0.001474064,0.002166439,0.00009869244,0.0001393771,0.00004319981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002867412,"about_ca_system_score_gemma":0.0002193086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003120848,"about_ca_topic_score_gemma":0.0001436783,"domain_scores_codex":[0.9979307,0.0000570974,0.0004853707,0.0002171883,0.0009903332,0.0003192988],"domain_scores_gemma":[0.9990401,0.0001016742,0.000415537,0.0001432466,0.0001201694,0.0001792594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005824348,0.0002911687,0.5124466,0.0000304577,0.000005615791,0.00005682596,0.005943484,0.02641747,0.3176894,0.01018992,0.0002331621,0.1266377],"study_design_scores_gemma":[0.0004682048,0.0002491378,0.9790158,0.00003443475,0.000005308613,0.00008583147,0.0001886709,0.01214619,0.002222989,0.004150148,0.001318396,0.0001148771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764079,0.00003032945,0.002318197,0.0005436539,0.0003953717,0.00005424871,1.059254e-7,0.000005759874,0.02024438],"genre_scores_gemma":[0.9973518,0.00002738571,0.002146054,0.0003351343,0.00005414326,0.000001722364,2.473561e-7,0.000003597436,0.00007986226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4665692,"threshold_uncertainty_score":0.5431249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881317757160076,"score_gpt":0.2751269595350669,"score_spread":0.2463137819634662,"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."}}