{"id":"W2482840608","doi":"10.3390/buildings6030028","title":"City and Building Designers, and Climate Adaptation","year":2016,"lang":"en","type":"article","venue":"Buildings","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Agence de l'Environnement et de la Maîtrise de l'Energie; Université Laval","keywords":"Adaptation (eye); Action (physics); Climate change adaptation; Climate change; Action research; Building design; Architectural engineering; Knowledge management; Engineering; Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002753542,0.00008387693,0.00007667319,0.00001229524,0.0001285064,0.00002795262,0.00006269427,0.00004045466,0.0002538504],"category_scores_gemma":[0.0001100882,0.00006103652,0.00001323472,0.00006928099,0.0001982458,0.0003298094,0.0001657381,0.00003047408,0.00001223259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001053096,"about_ca_system_score_gemma":0.000002537181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001445147,"about_ca_topic_score_gemma":0.00005081544,"domain_scores_codex":[0.9992766,0.00001873855,0.00009078428,0.0002673475,0.0001194809,0.0002270028],"domain_scores_gemma":[0.999695,0.00008232539,0.00005314411,0.0000924413,0.00000561419,0.00007145189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001021561,0.000045115,0.5494034,0.00006624619,0.00000792098,0.00001200056,0.005189714,0.00002417651,0.2128187,0.007296338,0.0009061192,0.2241281],"study_design_scores_gemma":[0.001892942,0.0002604545,0.898628,0.000195933,0.00004447444,0.0000687816,0.004569284,0.001040545,0.03093667,0.02099607,0.04050801,0.0008588519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962522,0.00009785744,0.001991506,0.0009341186,0.00002838827,0.0001011013,0.000005405944,0.0000350656,0.0005543625],"genre_scores_gemma":[0.9955735,0.0004313593,0.003703744,0.0001496188,0.00001738835,0.000009441193,2.186601e-7,0.000007033529,0.000107679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3492246,"threshold_uncertainty_score":0.2779483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183475189028799,"score_gpt":0.2278641493964004,"score_spread":0.2095166304935205,"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."}}