{"id":"W2790566020","doi":"","title":"Green infrastructure, climate change and spatial planning:","year":2017,"lang":"en","type":"article","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universidade de Lisboa; Centro de Investigação em Ciências Sociais; Fundação para a Ciência e a Tecnologia; Faculty of Arts, Ryerson University","keywords":"Climate change; Green infrastructure; Environmental planning; Environmental resource management; Business; Geography; Environmental science; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001083543,0.0004606191,0.0003863189,0.001833124,0.001057019,0.006958393,0.0005725973,0.001828042,0.01469064],"category_scores_gemma":[0.003357299,0.0003120593,0.000369717,0.005508553,0.00469079,0.006010347,0.002145079,0.0008627376,0.0006125044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00592158,"about_ca_system_score_gemma":0.005419258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05283429,"about_ca_topic_score_gemma":0.1063357,"domain_scores_codex":[0.9990741,0.0004644949,0.00002810143,0.0001187793,0.0001556492,0.0001587744],"domain_scores_gemma":[0.9988054,0.0005589472,0.0001749644,0.00008423466,0.0001797056,0.0001968345],"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":[0.0000239719,0.00009151691,0.005720284,0.0002885126,0.00005505079,0.0001099408,0.0008875569,0.007602624,0.0001499288,0.9210338,0.009805704,0.05423107],"study_design_scores_gemma":[0.000009536919,0.00005091998,0.01893717,0.0005557851,0.00008862362,0.0001293058,0.006108307,0.01174112,0.0001814613,0.833423,0.1287397,0.00003504004],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.172875,0.1654896,0.04494376,0.1317656,0.001731156,0.00009046039,0.001376978,0.0001131953,0.4816143],"genre_scores_gemma":[0.9425749,0.03415438,0.00347337,0.0006907746,0.0004946247,0.00002798276,0.0001635203,0.00003380439,0.01838679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05283429,"threshold_uncertainty_score":0.1050535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09423257406211322,"score_gpt":0.4033110366761868,"score_spread":0.3090784626140736,"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."}}