{"id":"W4290988023","doi":"10.5194/egusphere-2022-454-rc2","title":"Comment on egusphere-2022-454","year":2022,"lang":"en","type":"peer-review","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":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Biological dispersal; Biology; Range (aeronautics); Seed dispersal; Biogeography; Phylogenetics; Species distribution; Intraspecific competition; Ecology; Phylogenetic tree; Evolutionary biology; Population; Habitat","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009715835,0.0006807175,0.0005893256,0.0009469534,0.001914363,0.002051435,0.001714821,0.01095446,0.3379479],"category_scores_gemma":[0.007287857,0.0003583585,0.000634549,0.0007798189,0.001158964,0.002404897,0.001899627,0.006938799,0.2269673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363048,"about_ca_system_score_gemma":0.0009800993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01107264,"about_ca_topic_score_gemma":0.01310414,"domain_scores_codex":[0.9993116,0.00007316531,0.00006411372,0.00009907794,0.0003343782,0.0001176558],"domain_scores_gemma":[0.9976484,0.0006872261,0.0001136463,0.000176503,0.0009923927,0.0003818316],"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":[0.00001529749,0.000005014139,0.00004807818,0.0000214284,8.994795e-7,0.0000849412,0.000009117585,0.000005285849,0.00004845873,0.0004392141,0.9962004,0.003121877],"study_design_scores_gemma":[0.000007857462,0.000005807858,0.0002147322,0.00004486298,8.40691e-7,0.00002980276,0.00002899341,0.00001864737,0.00005489488,0.0002785065,0.9993104,0.000004671857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007669315,0.001332303,0.0007242758,0.3557505,0.3298305,0.0003239789,0.003001422,0.002279032,0.3059911],"genre_scores_gemma":[0.00411603,0.0008261835,0.0003079085,0.328232,0.05157302,0.0002016084,0.0009480131,0.0007097984,0.6130856],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3379479,"threshold_uncertainty_score":0.944337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05235584418039209,"score_gpt":0.2976423857597879,"score_spread":0.2452865415793958,"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."}}