{"id":"W2061352726","doi":"10.1139/b10-048","title":"Density dependence in an experimental boreal forest understory community","year":2010,"lang":"en","type":"article","venue":"Botany","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Arctic Institute of North America","keywords":"Understory; Biology; Abiotic component; Taiga; Ecology; Competition (biology); Growing season; Density dependence; Habitat; Seedling; Botany; Agronomy; Canopy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002535302,0.00006964235,0.00007236371,0.00001375237,0.000281006,0.000008154321,0.0001769185,0.00006862271,0.0002136054],"category_scores_gemma":[0.00002692702,0.00007090271,0.00001618171,0.00005514489,0.0003126129,0.0001915209,0.0001545438,0.0003659682,0.0001439237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008542311,"about_ca_system_score_gemma":0.000006617189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556977,"about_ca_topic_score_gemma":0.4161058,"domain_scores_codex":[0.9994668,0.00008941886,0.00008900776,0.0001197727,0.00008528565,0.0001496649],"domain_scores_gemma":[0.9996588,0.00005591702,0.0000285259,0.0002018236,0.000003566911,0.00005138566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009205657,0.0001744637,0.978049,6.037232e-7,0.000001479797,0.000006426297,0.0009312049,0.00003730904,0.01969127,0.00092523,0.00006431476,0.0001094405],"study_design_scores_gemma":[0.0001696534,0.00005280055,0.9952371,9.794084e-7,0.00000164089,0.000005744647,0.0009443378,0.001304009,0.0003679127,0.001787194,0.00004651831,0.000082074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845178,0.00001004188,0.00005450893,0.00005214816,0.0001345183,0.0000749849,8.487024e-7,0.00002353055,0.01513162],"genre_scores_gemma":[0.9990989,0.000001894068,0.0005696856,0.0001883139,0.000009798167,0.00001027151,0.000001315096,0.000004590632,0.000115262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4145488,"threshold_uncertainty_score":0.5945487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907100665503896,"score_gpt":0.2628511308254965,"score_spread":0.2437801241704576,"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."}}