{"id":"W2318869652","doi":"10.5751/es-04972-180243","title":"Constructing Consistent Multiscale Scenarios by Transdisciplinary Processes: the Case of Mountain Regions Facing Global Change","year":2013,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eidgenössische Technische Hochschule Zürich","keywords":"Global change; Climate change; Ecology; Geography; Environmental resource management; Economic geography; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001255986,0.0000787933,0.00009839494,0.000003168737,0.0003655307,0.00001355789,0.00008232921,0.0000725063,0.0005288179],"category_scores_gemma":[0.00001263795,0.00005676017,0.00004437593,0.0001082998,0.0008002318,0.0001364093,0.0001224025,0.00007953257,0.00003792328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005311871,"about_ca_system_score_gemma":0.000006927797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002033859,"about_ca_topic_score_gemma":0.00214039,"domain_scores_codex":[0.9994659,0.00003698558,0.0001191867,0.0001485396,0.00004129123,0.0001880582],"domain_scores_gemma":[0.9997225,0.00007892556,0.00006052178,0.00008918225,0.000006562243,0.00004229463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007238476,0.0001361981,0.860141,0.0001661933,0.00009693096,0.0000340084,0.04936299,0.00003962388,0.0001082358,0.002761234,0.08201344,0.005132903],"study_design_scores_gemma":[0.005160828,0.0008626395,0.5755354,0.0001183564,0.0004889071,0.002849355,0.3298584,0.05758644,0.0002311071,0.01141733,0.01428751,0.001603761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923937,0.00007603292,0.0000276904,0.002759429,0.00004031532,0.0003794645,0.00002319047,0.00001406888,0.004286104],"genre_scores_gemma":[0.9985237,0.00005002978,0.000303674,0.0005632042,0.00001701561,0.00005915065,0.000005167376,0.000003031497,0.0004750336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2846056,"threshold_uncertainty_score":0.5790185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483476013044313,"score_gpt":0.24788604950174,"score_spread":0.2330512893712969,"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."}}