{"id":"W2746552002","doi":"","title":"Functional niche differentiation in co-occurring congeneric plants","year":2014,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Niche; Biology; Evolutionary biology; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.00007867347,0.0002538287,0.0003433959,0.0001130486,0.0003492392,0.00003704579,0.000286708,0.0002531761,0.0002172414],"category_scores_gemma":[0.00001964224,0.0001386407,0.0001238937,0.0003808546,0.00003181515,0.00008699368,0.00005752155,0.000296436,0.0001411463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001033897,"about_ca_system_score_gemma":0.00002029574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001516116,"about_ca_topic_score_gemma":0.7285734,"domain_scores_codex":[0.9989353,0.000114593,0.0001772367,0.0003516785,0.0001401387,0.0002810871],"domain_scores_gemma":[0.9994625,0.0002241993,0.0001297005,0.00003406607,0.00006951699,0.00007998277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005559432,0.0005416,0.9079383,0.0001181687,0.0001451184,0.00005207291,0.0005762963,0.000004508713,0.03230686,0.002271946,0.01860593,0.03688325],"study_design_scores_gemma":[0.0002373741,0.00005743844,0.8294185,0.0001137342,0.00002793271,0.000001224692,0.0002518136,0.00001819318,0.0002427237,0.00002601326,0.1693418,0.0002632386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9122681,0.0004265189,0.000001362802,0.00003423791,0.0002958325,0.0001322298,0.000147107,0.00006695381,0.08662765],"genre_scores_gemma":[0.9837148,0.00001663702,5.474324e-7,0.000002849118,0.0002152429,0.000002321137,0.002410462,0.000001879786,0.01363529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7284218,"threshold_uncertainty_score":0.5653602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0555085093910661,"score_gpt":0.2249033241966332,"score_spread":0.1693948148055671,"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."}}