{"id":"W6892072013","doi":"10.5061/dryad.334765v","title":"Data from: Soil microbes alter plant fitness under competition and drought","year":2019,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Interspecific competition; Intraspecific competition; Abiotic component; Competition (biology); Plant ecology; Natural selection; Plant community; Soil biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001087514,0.0003843274,0.0005306069,0.0006060021,0.0006107492,0.0008233665,0.0007259903,0.0007020697,0.06289928],"category_scores_gemma":[0.003833079,0.0001790899,0.0005287316,0.001070464,0.0003141964,0.0006973905,0.000777383,0.0008543899,0.00855503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006730446,"about_ca_system_score_gemma":0.0006775231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005471223,"about_ca_topic_score_gemma":0.008107359,"domain_scores_codex":[0.9994097,0.0001078474,0.00008364454,0.0001300571,0.0001981454,0.00007068373],"domain_scores_gemma":[0.9971698,0.001199359,0.0003133751,0.0004906912,0.0005460118,0.0002808487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.02164179,0.002969691,0.1615826,0.006158806,0.001371974,0.0008027428,0.001432217,0.01104859,0.2555739,0.0118944,0.3692301,0.1562932],"study_design_scores_gemma":[0.001230003,0.001267164,0.6958873,0.0003137777,0.0004978892,0.0004863367,0.0007834018,0.01360997,0.07273557,0.01014162,0.2028075,0.0002393571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5163143,0.0007285931,0.009373339,0.004271567,0.000817308,0.0002850741,0.4246403,0.001740691,0.04182886],"genre_scores_gemma":[0.6988068,0.0008008332,0.01076401,0.001349449,0.0001000088,0.0006797264,0.2522733,0.0005291824,0.03469666],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.06289928,"threshold_uncertainty_score":0.2104191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04279826066984627,"score_gpt":0.2981860810368617,"score_spread":0.2553878203670154,"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."}}