{"id":"W4301019729","doi":"10.21425/f5fbg33282","title":"Potential change in the distribution of an abundant and wide-ranging forest salamander in a context of climate change","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Climate change; Salamander; Context (archaeology); Ranging; Distribution (mathematics); Geography; Ecology; Environmental science; Biology; Mathematics; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002593466,0.0001386853,0.0001092829,0.0009021122,0.0003092566,0.0006514579,0.0003577307,0.0002436683,0.00135131],"category_scores_gemma":[0.0009472949,0.0001003239,0.0002804523,0.001259688,0.000269694,0.0004017177,0.0003590012,0.0002651921,0.000169899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144842,"about_ca_system_score_gemma":0.0004520635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2389847,"about_ca_topic_score_gemma":0.4357041,"domain_scores_codex":[0.9998994,0.00001181195,0.000006214673,0.00003859567,0.00001697053,0.00002711857],"domain_scores_gemma":[0.9996465,0.00006895564,0.0001291953,0.00002685029,0.00008000923,0.00004852769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002733086,0.000009003724,0.9926117,0.00002315878,0.00004626147,0.00005928816,0.0001677722,0.001877806,0.0005803368,0.000161155,0.0005266361,0.003909557],"study_design_scores_gemma":[0.000002549409,0.000007026695,0.9953219,0.000008168525,0.00001629899,0.00006960071,0.0002783447,0.003237287,0.00009603368,0.00006420638,0.0008923372,0.000006143035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955245,0.00009339955,0.0002486657,0.00004705278,0.000003581842,0.000004677563,0.003083069,0.00002156745,0.0009735102],"genre_scores_gemma":[0.9974291,0.0000606195,0.0004037225,0.00001315461,0.000003469893,0.000006095988,0.001957975,0.000002964706,0.0001229567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2389847,"threshold_uncertainty_score":0.4751872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1813366612905107,"score_gpt":0.4757206355495991,"score_spread":0.2943839742590884,"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."}}