{"id":"W7055471591","doi":"","title":"Byggplatsledningens beslutsfattande : En fallstudie om informationsbehov och beslutsprocesser","year":2023,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Data collection; Intuition; Digitization; Information needs; Productivity; Information management; Work (physics)","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":[0.009577,0.001141482,0.001357771,0.004668793,0.008445523,0.01461123,0.002841822,0.006024566,0.06208055],"category_scores_gemma":[0.01756033,0.001237419,0.0009127567,0.004921824,0.003579688,0.009158387,0.01354432,0.00524116,0.0225845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008983178,"about_ca_system_score_gemma":0.01296427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03322515,"about_ca_topic_score_gemma":0.03136918,"domain_scores_codex":[0.9812412,0.005935784,0.001922444,0.002009002,0.006378974,0.002512576],"domain_scores_gemma":[0.9871709,0.004774768,0.001694165,0.0008655623,0.002682,0.002812606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004154723,0.001043048,0.02124237,0.00196181,0.00005246522,0.002525128,0.05164878,0.001713721,0.002112922,0.03294912,0.2257085,0.6586266],"study_design_scores_gemma":[0.0000238915,0.0001376622,0.01110906,0.00286905,0.00002148735,0.0009435354,0.03382467,0.0009171724,0.001330336,0.007959889,0.9407678,0.00009546043],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3060626,0.0791092,0.03671018,0.1121265,0.008394161,0.001284574,0.009214397,0.00430586,0.4427925],"genre_scores_gemma":[0.5772821,0.03894865,0.03371296,0.006982502,0.001593292,0.0008912042,0.007935304,0.002109439,0.3305447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06208055,"threshold_uncertainty_score":0.2076801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785895767010707,"score_gpt":0.2875573050907677,"score_spread":0.2696983474206606,"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."}}