{"id":"W2894972609","doi":"","title":"Climate adaptation of pitched wooden roofs","year":2018,"lang":"en","type":"dissertation","venue":"Duo Research Archive (University of Oslo)","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Climate change adaptation; Climate change; Architectural engineering; Engineering; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002171498,0.0002355487,0.0001744954,0.0002232552,0.000546354,0.001003423,0.0003963395,0.0002420901,0.005818842],"category_scores_gemma":[0.0003652671,0.0001651335,0.000413552,0.0002931411,0.0003453238,0.0004355571,0.0007354418,0.0003386009,0.0009344633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006412129,"about_ca_system_score_gemma":0.0002961482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003925533,"about_ca_topic_score_gemma":0.007049759,"domain_scores_codex":[0.9997247,0.00003171286,0.000006845984,0.0000854205,0.00006109446,0.00009023872],"domain_scores_gemma":[0.9998154,0.00002714742,0.00002880407,0.00003883767,0.00005765092,0.00003211365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001202165,0.0003299051,0.09378865,0.001044213,0.0002535781,0.002889733,0.003345347,0.1851683,0.3956572,0.02050702,0.00872337,0.2870905],"study_design_scores_gemma":[0.00006656672,0.000962501,0.6977657,0.000258522,0.0002218431,0.001874132,0.005979594,0.05207419,0.08746697,0.008667984,0.1444892,0.0001727542],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573554,0.0005953275,0.0102887,0.00006950091,0.0001379654,0.00004286027,0.0006772521,0.0001892559,0.03064381],"genre_scores_gemma":[0.9915542,0.0002910548,0.003435996,0.00002845163,0.00001081644,0.00001365824,0.000453275,0.00009878268,0.004113846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005818842,"threshold_uncertainty_score":0.01946598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03555369953373317,"score_gpt":0.2630021903312568,"score_spread":0.2274484907975237,"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."}}