{"id":"W4414330855","doi":"10.24072/pcjournal.589","title":"A Julia toolkit for species distribution data","year":2025,"lang":"en","type":"article","venue":"Peer Community Journal","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Software versioning; R package; Distribution (mathematics); Data integration; Data modeling; Data collection","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001284877,0.00009587349,0.0001160281,0.00001928253,0.001156677,0.0001839819,0.001116809,0.00004915074,0.01424695],"category_scores_gemma":[0.00058573,0.00008717649,0.00006238622,0.0001999751,0.0001568695,0.0003163102,0.0008841691,0.0004765273,0.000173251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005532488,"about_ca_system_score_gemma":0.00001992479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002110973,"about_ca_topic_score_gemma":0.0007652617,"domain_scores_codex":[0.9990488,0.0001459803,0.0002025656,0.00009910847,0.0002651702,0.0002384182],"domain_scores_gemma":[0.9989909,0.000139829,0.00007615887,0.0006552433,0.00005783421,0.0000800513],"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":[0.00003592416,0.0001730098,0.01231841,0.000008856186,0.00001964358,0.000001148481,0.0001681797,0.000005470081,0.0004822311,0.002424297,0.980728,0.003634876],"study_design_scores_gemma":[0.0004069811,0.00002865858,0.1533998,0.00001166317,0.00002398752,0.00002055699,0.00244369,0.0001661476,0.0001633807,0.001452039,0.8417969,0.00008614356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5934815,0.0002593556,0.07399169,0.04010927,0.001910896,0.0005991398,0.006712152,0.0001526886,0.2827832],"genre_scores_gemma":[0.9765151,0.0001185359,0.0003902069,0.001068366,0.00009542937,0.00001199523,0.003778953,0.00000875472,0.01801269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3830335,"threshold_uncertainty_score":0.9866542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1299703088207824,"score_gpt":0.3381980401675746,"score_spread":0.2082277313467921,"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."}}