{"id":"W7010913337","doi":"","title":"Könnun á heilsulæsi fólks á biðlista eftir skurðaðgerð og prófun á fræðslubæklingi um verkjameðferð","year":2018,"lang":"is","type":"dissertation","venue":"Skemman","topic":"Enhanced Recovery After Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scanning electron microscope; Yield (engineering); Sample (material)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001553102,0.002459486,0.003261717,0.001536619,0.0007752266,0.0004053801,0.001337769,0.002749393,0.005322239],"category_scores_gemma":[0.001692619,0.002527116,0.001647737,0.001693747,0.0005687698,0.0007334371,0.0003289172,0.002955223,0.01138676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009972214,"about_ca_system_score_gemma":0.001791235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006846234,"about_ca_topic_score_gemma":0.001124947,"domain_scores_codex":[0.9884197,0.0005041527,0.002877839,0.003183848,0.002245127,0.002769406],"domain_scores_gemma":[0.9910908,0.0008256855,0.001819715,0.003442811,0.001513324,0.001307662],"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":[0.01635592,0.007063126,0.04491387,0.02889454,0.01262335,0.006112988,0.05050834,0.00007849902,0.06647941,0.001206042,0.5383971,0.2273669],"study_design_scores_gemma":[0.00664492,0.003233755,0.07350861,0.018621,0.004079279,0.00031381,0.005412686,0.0004896673,0.114165,0.0008856246,0.7661679,0.006477647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8850697,0.00708389,0.0003306719,0.0005184769,0.02705663,0.002481198,0.0004560361,0.0008043477,0.07619902],"genre_scores_gemma":[0.6668661,0.003732198,0.002699529,0.002022411,0.01475661,0.0005284124,0.01291368,0.001245113,0.295236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2277709,"threshold_uncertainty_score":0.999345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420890918068691,"score_gpt":0.2850647466234993,"score_spread":0.2708558374428124,"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."}}