{"id":"W2516419917","doi":"10.1016/j.cois.2016.08.008","title":"Editorial overview: Global change biology: Linking pattern and process to prediction and policy","year":2016,"lang":"en","type":"editorial","venue":"Current Opinion in Insect Science","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Biology; Process (computing); Computational biology; Data science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007642698,0.0003007776,0.0002667528,0.0001834097,0.0002718762,0.0001647801,0.000536914,0.0003524136,0.0003157175],"category_scores_gemma":[0.0006938126,0.0002496385,0.0000313519,0.001079577,0.0008120192,0.0005195296,0.0008493036,0.0003375291,0.0000911304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666154,"about_ca_system_score_gemma":0.000167207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000696927,"about_ca_topic_score_gemma":0.0001209517,"domain_scores_codex":[0.9970263,0.00005740994,0.0003302328,0.0009942118,0.0009966881,0.0005951525],"domain_scores_gemma":[0.9991204,0.00008441992,0.0001748905,0.0002535791,0.00007197181,0.0002947909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002198044,0.00005477534,0.07478558,0.0001900147,0.000001668481,1.317897e-7,0.0005025617,1.588235e-7,0.00006972208,0.0001089478,0.8871249,0.03713959],"study_design_scores_gemma":[0.0004842749,0.0001425197,0.04038757,0.0006028945,0.000003400586,0.000001748843,0.00004420931,0.00001456621,0.000005058569,0.0003517081,0.9576734,0.0002885945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.008083623,0.0009768001,0.0000414652,0.0002695068,0.9879784,0.0004883512,0.001868632,0.00005008873,0.0002431494],"genre_scores_gemma":[0.01495957,0.006865766,0.000003164336,0.00004323376,0.9777163,0.0001866547,0.0002083743,0.00001225704,0.00000471622],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07054858,"threshold_uncertainty_score":0.9999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06602472492789072,"score_gpt":0.3843652895867802,"score_spread":0.3183405646588895,"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."}}