{"id":"W6888457910","doi":"10.18739/a21j9781c","title":"Forage quality and community composition of a slightly brackish wet sedge meadow, Yukon-Kuskokwim, Delta, Alaska, 2015-2016","year":2017,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Goose; Grazing; Forage; Ecological succession; Phenology; Herbivore; Shrub; Brackish marsh","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003853484,0.0005032113,0.0008159563,0.0001670161,0.0006065209,0.0008938296,0.001001557,0.0004429832,0.003787206],"category_scores_gemma":[0.00007780064,0.000421197,0.000206783,0.0001106313,0.0005375515,0.001970656,0.0003066861,0.0008176843,0.001825666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006368288,"about_ca_system_score_gemma":0.0001463033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00202704,"about_ca_topic_score_gemma":0.001537132,"domain_scores_codex":[0.9976995,0.0003494776,0.0006952473,0.0004134783,0.0003732996,0.000468993],"domain_scores_gemma":[0.9970818,0.0007110945,0.0006532607,0.001118999,0.00004984896,0.0003850318],"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":[0.0001715319,0.0001170211,0.0476975,0.0006839175,0.00005231813,0.0000330675,0.00004882329,0.000001112876,0.000004133074,0.000001174228,0.9493554,0.001834011],"study_design_scores_gemma":[0.0004987328,0.0002122832,0.03122712,0.0003976243,0.00006452439,0.0000464638,0.00008515099,0.00004379592,0.00003954232,0.0006716213,0.9661078,0.0006053171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04833612,0.001212611,0.000002289496,0.0002981616,0.0002614175,0.0003266237,0.9464425,0.00006019972,0.003060079],"genre_scores_gemma":[0.02644616,0.0007201442,0.00001622136,0.000639067,0.0002816661,0.000003548689,0.9717119,0.00001894241,0.0001623109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02526945,"threshold_uncertainty_score":0.999824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04309505921853436,"score_gpt":0.273530089475955,"score_spread":0.2304350302574207,"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."}}