{"id":"W4361188883","doi":"10.7287/peerj.15120v0.2/reviews/2","title":"Peer Review #2 of \"Integrating eDNA and citizen science observations to model distribution of a temperate freshwater turtle near its northern range limit (v0.2)\"","year":2023,"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":"","funders":"","keywords":"Temperate climate; Range (aeronautics); Turtle (robot); Limit (mathematics); Distribution (mathematics); Citizen science; Geography; Ecology; Environmental science; Biology; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"evaluation","study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01322112,0.00061273,0.0009727877,0.00435281,0.003045059,0.004158089,0.002175451,0.001562956,0.1442896],"category_scores_gemma":[0.1217929,0.0005512657,0.0008398644,0.002952765,0.001394526,0.003016,0.004192482,0.001111643,0.07094844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003328698,"about_ca_system_score_gemma":0.02026792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0425454,"about_ca_topic_score_gemma":0.09425434,"domain_scores_codex":[0.9906554,0.001534423,0.0007041992,0.0006232299,0.006023149,0.0004596839],"domain_scores_gemma":[0.8254248,0.0143298,0.003710156,0.007888954,0.1416595,0.006986807],"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":[0.00004654783,0.00001549891,0.002252437,0.0008075027,0.00002872584,0.0002059871,0.0003110511,0.0003810777,0.0004601512,0.001596744,0.9075341,0.08636018],"study_design_scores_gemma":[0.00002447768,0.00001630616,0.003060831,0.0003932143,0.00002108504,0.00006817347,0.0002626318,0.001143899,0.0005066872,0.00113039,0.9933478,0.00002439769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03192418,0.01157343,0.05119702,0.1317956,0.1440802,0.01259336,0.05696154,0.01005388,0.5498208],"genre_scores_gemma":[0.1645124,0.01229054,0.04134985,0.007798718,0.01752297,0.003503787,0.04006407,0.007011184,0.7059465],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1442896,"threshold_uncertainty_score":0.4826968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09886917828815686,"score_gpt":0.3151514619185808,"score_spread":0.216282283630424,"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."}}