{"id":"W6948261955","doi":"10.5061/dryad.0zpc866v8","title":"Data from: Harsh environmental regimes increase the functional significance of intraspecific variation in plant communities","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Intraspecific competition; Interspecific competition; Abiotic component; Plant community; Species richness; Specific leaf area; Species diversity; Trait; Competition (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":[0.0008154134,0.0002006999,0.0004277648,0.0006435881,0.0003746777,0.0006881501,0.0002285836,0.0003223612,0.005698526],"category_scores_gemma":[0.001363792,0.0001172109,0.0002081092,0.000899563,0.0003133131,0.000351674,0.0007736956,0.0003135896,0.0007233256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000231838,"about_ca_system_score_gemma":0.0001381246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002303067,"about_ca_topic_score_gemma":0.005591094,"domain_scores_codex":[0.9991544,0.0002088162,0.00009574223,0.0003044165,0.0001514568,0.00008507154],"domain_scores_gemma":[0.9985007,0.0004381172,0.0004708374,0.0002176363,0.0001479443,0.0002247286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001232322,0.0001699458,0.9096078,0.0003585286,0.0004389911,0.0001587118,0.0005566406,0.0005986373,0.05773553,0.0001546207,0.0007542761,0.02823406],"study_design_scores_gemma":[0.000006193459,0.00004883907,0.9984258,0.000004994356,0.00001450449,0.00004227689,0.00008427672,0.000175731,0.0005725343,0.00007978185,0.0005420615,0.00000306039],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9952698,0.0001288085,0.001018803,0.00003220811,0.000006753668,0.00001184668,0.002371998,0.00003638693,0.001123314],"genre_scores_gemma":[0.9946244,0.00004081182,0.0007286344,0.0000543338,0.000008426535,0.00003429948,0.004064143,0.00001617056,0.0004287229],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.005698526,"threshold_uncertainty_score":0.01906347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964539344095407,"score_gpt":0.23731492809845,"score_spread":0.1976695346574959,"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."}}