{"id":"W7096841090","doi":"","title":"OIKOS 91: 385–395. Copenhagen 2000 Competitive effects of shrubs and grasses in prairie","year":2015,"lang":"en","type":"article","venue":"","topic":"Irish and British Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shrub; Herbaceous plant; Standing crop; Competition (biology); Grassland; Population; Grazing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003697156,0.0001825867,0.000216052,0.0002904919,0.0008801243,0.0006798364,0.0002332584,0.0001972854,0.01228945],"category_scores_gemma":[0.0004921624,0.0001758358,0.0000930923,0.0003000977,0.0007371029,0.0004496447,0.0004202318,0.0003488719,0.001962509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243945,"about_ca_system_score_gemma":0.0006020889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1646498,"about_ca_topic_score_gemma":0.4059353,"domain_scores_codex":[0.9998912,0.00001679699,0.00000524783,0.0000228489,0.00003522542,0.00002869701],"domain_scores_gemma":[0.9997452,0.00002847504,0.00004820621,0.00001685171,0.00005127542,0.0001100993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006746535,0.0004143213,0.5867222,0.0007785799,0.0002809977,0.001754776,0.01096716,0.001485465,0.08222406,0.01109964,0.02502611,0.278572],"study_design_scores_gemma":[0.00002102356,0.00008103438,0.9456333,0.00004756561,0.00002328816,0.0001695171,0.0009611133,0.0004344742,0.000319099,0.0008099269,0.05148756,0.00001212735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9094008,0.01050265,0.00065524,0.001203418,0.00006669122,0.00002622163,0.001030676,0.00003372071,0.07708065],"genre_scores_gemma":[0.9778066,0.00274717,0.0006147723,0.0001946589,0.00003501264,0.000009995611,0.0005866145,0.00001606929,0.01798909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1646498,"threshold_uncertainty_score":0.3273828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751370160399472,"score_gpt":0.2974852318297143,"score_spread":0.2799715302257195,"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."}}