{"id":"W4241818788","doi":"10.31235/osf.io/ka69n","title":"Developing multi-scale and integrative nature-people scenarios using the Nature Futures Framework","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Transformative learning; Futures contract; Scenario planning; Vision; Sustainability; Process (computing); Management science; Boundary object; Computer science; Plural; Scale (ratio); Process management; Ecosystem services; Business; Sociology; Engineering; Geography; Ecology","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":[0.01713073,0.001127583,0.0006744,0.004797227,0.003761387,0.006683354,0.002984351,0.003758739,0.008921842],"category_scores_gemma":[0.01383222,0.0006271725,0.002203695,0.004383781,0.004235405,0.01010992,0.008243965,0.00362529,0.0006843128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008833133,"about_ca_system_score_gemma":0.00707602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01324004,"about_ca_topic_score_gemma":0.02852026,"domain_scores_codex":[0.9911882,0.006516393,0.0003572451,0.0004389817,0.0009773796,0.0005217936],"domain_scores_gemma":[0.9922774,0.005392912,0.0004406583,0.0006353333,0.0006573546,0.0005963637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005772734,0.0001741427,0.001932487,0.0002414299,0.00005558592,0.0006896214,0.006242364,0.1158731,0.0006109748,0.8520385,0.003278058,0.01880592],"study_design_scores_gemma":[0.00008148058,0.00008733724,0.001106396,0.0004661152,0.00004435514,0.0002534599,0.009991239,0.1700822,0.001017811,0.7163861,0.1003478,0.000135676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0673591,0.0007351055,0.7476794,0.01154806,0.0003121409,0.002295013,0.0021364,0.0005352509,0.1673996],"genre_scores_gemma":[0.2385616,0.0005258706,0.7543566,0.0003263241,0.00003353929,0.00205187,0.001320991,0.0001146574,0.002708581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01713073,"threshold_uncertainty_score":0.09059703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787740222493769,"score_gpt":0.3067242086113546,"score_spread":0.2788468063864169,"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."}}