{"id":"W7008458234","doi":"","title":"Branntekniske utfordringer og kompenserende tiltak i høye trehus","year":2018,"lang":"no","type":"dissertation","venue":"BIBSYS Brage (BIBSYS (Norway))","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Manual handling; Elderly people; Internet of Things","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001477976,0.001232399,0.0007061152,0.001050978,0.004118882,0.008175091,0.001784947,0.002177251,0.3184099],"category_scores_gemma":[0.003031267,0.000913173,0.0006956944,0.0008290499,0.001824738,0.004933149,0.005409719,0.002942935,0.1598985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003542647,"about_ca_system_score_gemma":0.003894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02083921,"about_ca_topic_score_gemma":0.04657698,"domain_scores_codex":[0.9972895,0.0002065322,0.00009542811,0.0004582301,0.001512959,0.0004372567],"domain_scores_gemma":[0.9978642,0.0002208672,0.00008578662,0.0002810993,0.001043105,0.0005049466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001859409,0.0001325887,0.001434335,0.0004266292,0.00001565383,0.0003649845,0.001919263,0.0004874893,0.01041586,0.02786177,0.7748984,0.1818571],"study_design_scores_gemma":[0.000003061562,0.00001696568,0.0005817368,0.00006539956,0.000004249954,0.0000669557,0.0005803706,0.0001850886,0.001692449,0.001128754,0.9956612,0.00001377663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008451194,0.001980196,0.01386893,0.01368677,0.00555237,0.0002279371,0.002531256,0.003942694,0.9497586],"genre_scores_gemma":[0.02696524,0.001651016,0.007494129,0.001996275,0.0003811321,0.00008001055,0.00131598,0.001809855,0.9583064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3184099,"threshold_uncertainty_score":0.9722056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106931141432661,"score_gpt":0.2286800284850997,"score_spread":0.2179869143418336,"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."}}