{"id":"W4394276050","doi":"10.6084/m9.figshare.22740974","title":"Conspecific and heterospecific plant-soil feedback data and root trait measurements of 18 annual and perennial plant species","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perennial plant; Plant root; Trait; Plant species; Root (linguistics); Ecology; Biology; Environmental science; Horticulture; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008836253,0.0002820264,0.0004626974,0.00002309719,0.000258657,0.0000707947,0.0003663573,0.0002341871,0.005834479],"category_scores_gemma":[0.0002032805,0.0001267222,0.00003000849,0.0001044155,0.0001057083,0.0001309219,0.0006601982,0.0002070695,0.0001302149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006393246,"about_ca_system_score_gemma":0.000009614814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000668761,"about_ca_topic_score_gemma":0.002371263,"domain_scores_codex":[0.9985867,0.00006275755,0.0002824807,0.0005932327,0.0002393863,0.0002355098],"domain_scores_gemma":[0.9991286,0.0003802454,0.0002089385,0.0001308363,0.00006870952,0.00008260147],"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":[0.00006205822,0.000027422,0.0002567197,0.0001388967,0.00007320937,0.000009804449,0.00003191822,6.422667e-8,0.001863753,4.032613e-7,0.9971731,0.0003626633],"study_design_scores_gemma":[0.0001939448,0.0001009922,0.2824062,0.0005576215,0.00002350722,0.00002077397,0.0002496006,0.000001218776,0.00005273621,0.000006853478,0.7161558,0.0002308684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02542226,0.0009322948,1.18841e-9,0.0000568634,0.00008102239,0.0001787635,0.9732587,0.00002701574,0.0000431243],"genre_scores_gemma":[0.003891279,0.0003446503,0.000001147587,0.00003215411,0.0002777946,0.00002201149,0.9953071,0.000001579609,0.0001222492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2821494,"threshold_uncertainty_score":0.9950743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2058013738824694,"score_gpt":0.2675954171060199,"score_spread":0.06179404322355056,"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."}}