{"id":"W3045681744","doi":"10.22541/au.159595908.80082633","title":"Trait-based approaches to global change ecology: from description to prediction","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Trait; Ecology; Intraspecific competition; Multivariate statistics; Global change; Life history theory; Environmental change; Biology; Climate change; Matching (statistics); Life history; Computer science; Statistics; Machine learning; Mathematics","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":[0.00996142,0.00153814,0.002107568,0.00459042,0.0004494604,0.005348073,0.00228049,0.00146874,0.002638415],"category_scores_gemma":[0.02874015,0.0007499512,0.001625119,0.004430157,0.00473091,0.005774319,0.002943647,0.003385879,0.0006820939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002634074,"about_ca_system_score_gemma":0.001058562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0055806,"about_ca_topic_score_gemma":0.002673827,"domain_scores_codex":[0.9954758,0.002866839,0.0002414305,0.0007914131,0.0005212414,0.0001034006],"domain_scores_gemma":[0.9721081,0.02151767,0.001700641,0.003066207,0.001195681,0.0004117728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001190539,0.0001162718,0.04233541,0.002741031,0.001321602,0.0003050319,0.001356391,0.1494804,0.001047084,0.4031238,0.009191198,0.3888629],"study_design_scores_gemma":[0.00001301485,0.00004585445,0.009206547,0.0004619442,0.000111177,0.00009530067,0.0002940297,0.1726912,0.0002347789,0.803737,0.01301827,0.00009077286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0176009,0.023797,0.9416052,0.008993031,0.0003837112,0.00005926323,0.00132475,0.0006318665,0.005604323],"genre_scores_gemma":[0.605459,0.03093327,0.3518042,0.003383818,0.002076697,0.0004917103,0.002721226,0.0005458107,0.002584266],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00996142,"threshold_uncertainty_score":0.05268168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2796716574853317,"score_gpt":0.2665180043894388,"score_spread":0.01315365309589295,"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."}}