{"id":"W4406962135","doi":"10.3390/agriculture15030297","title":"Spatial Evaluation of Salurnis marginella Occurrence According to Climate Change Using Multiple Species Distribution Models","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Climate change; Spatial distribution; Distribution (mathematics); Geography; Ecology; Species distribution; Environmental science; Physical geography; Biology; Mathematics; Habitat; Remote sensing","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":[0.0003902406,0.0003433203,0.0002170689,0.000885615,0.0001893349,0.0004067355,0.0003568131,0.0003564841,0.0005130434],"category_scores_gemma":[0.0008251459,0.0001363907,0.0005355344,0.000406139,0.0001251752,0.0003861061,0.0003059457,0.0001594155,0.00009495916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006456585,"about_ca_system_score_gemma":0.0002900624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02347049,"about_ca_topic_score_gemma":0.01935112,"domain_scores_codex":[0.9999043,0.00001982343,0.00000649486,0.00003836555,0.00001405565,0.00001697699],"domain_scores_gemma":[0.9996833,0.0001267074,0.00007656668,0.00002408597,0.00005780449,0.00003166582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009834449,0.0000847464,0.180197,0.00003354546,0.00008711667,0.000130433,0.00007572517,0.7971461,0.004899702,0.0003356746,0.0002325874,0.01667907],"study_design_scores_gemma":[0.000002081802,0.00001368135,0.01731085,0.00000233699,0.000006751416,0.00001486429,0.0000233261,0.9822734,0.0002309819,0.000060099,0.00005703914,0.000004613898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991877,0.00006220049,0.007248868,0.0000518327,0.000004841922,0.000008357272,0.0002046569,0.0001501483,0.0003921325],"genre_scores_gemma":[0.9975892,0.00001770731,0.002154654,0.000004410751,0.000001377061,0.000004307803,0.0001370975,0.00000461862,0.00008657447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02347049,"threshold_uncertainty_score":0.04666775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08118047272250759,"score_gpt":0.2932779836703847,"score_spread":0.2120975109478771,"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."}}