{"id":"W7019839082","doi":"","title":"Incorporating plant community structure in species distribution modelling: a species co-occurrence based composite approach","year":2020,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Cluster analysis; Species distribution; Selection (genetic algorithm); Plant community; Distribution (mathematics); Environmental niche modelling; Regression","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":[0.001808299,0.0005209091,0.0005873199,0.002355575,0.0004904182,0.001530799,0.001588769,0.0008474389,0.001253632],"category_scores_gemma":[0.00443482,0.0004094236,0.001326123,0.001717964,0.0004812874,0.001441537,0.001455012,0.001129849,0.000269284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150335,"about_ca_system_score_gemma":0.001131455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02222082,"about_ca_topic_score_gemma":0.02836981,"domain_scores_codex":[0.9994488,0.0002028431,0.00002463356,0.0001702582,0.0001037163,0.00004965081],"domain_scores_gemma":[0.9975451,0.001549956,0.0002791892,0.000208021,0.0002745061,0.0001432049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001183248,0.0001225548,0.03568577,0.0001369453,0.0003755466,0.0001161924,0.0002742544,0.8950018,0.002355826,0.008156691,0.0005817897,0.05707429],"study_design_scores_gemma":[0.000002736896,0.00001684727,0.003198117,0.000008100173,0.00001434674,0.00002566601,0.00003066533,0.9933323,0.0001454252,0.002809566,0.0004062219,0.000009903086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2183568,0.0003900161,0.776449,0.0003539278,0.000045599,0.0001003449,0.0007033391,0.0005733133,0.003027509],"genre_scores_gemma":[0.7636709,0.0002276747,0.2339581,0.00008097941,0.00004411171,0.0001246326,0.0004857046,0.0001021744,0.001305755],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02222082,"threshold_uncertainty_score":0.04418296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444813653826311,"score_gpt":0.1816684785597853,"score_spread":0.1572203420215222,"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."}}