{"id":"W7028674059","doi":"","title":"Fasteignamarkaður Kanada. Eru fasteignir undirverðlagðar í Montréal?","year":2018,"lang":"is","type":"dissertation","venue":"Skemman","topic":"Technology, Environment, Urban Planning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sewage sludge; Raw material; Yield (engineering)","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0003886967,0.001388279,0.001213829,0.000806537,0.001665178,0.0006536734,0.001301673,0.001298574,0.008114813],"category_scores_gemma":[0.00009753888,0.001459983,0.0004663548,0.0001881789,0.0009430436,0.000520268,0.0002730923,0.001415278,0.006502499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005192519,"about_ca_system_score_gemma":0.0001820272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004945467,"about_ca_topic_score_gemma":0.02834339,"domain_scores_codex":[0.9945129,0.0001647835,0.001261019,0.001632702,0.0009872877,0.001441339],"domain_scores_gemma":[0.9966365,0.000129336,0.001152874,0.001596093,0.0001751285,0.0003100326],"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":[0.000562294,0.0008934715,0.003162747,0.001649141,0.002708689,0.0008105695,0.06854465,0.00003430783,0.002432791,0.2791659,0.6074629,0.03257254],"study_design_scores_gemma":[0.001007043,0.0006119987,0.003449501,0.0007605763,0.0006086976,0.00001914256,0.04093316,0.0001769619,0.001030512,0.002565778,0.9470447,0.001791963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5979571,0.01212436,0.00007313216,0.000512992,0.006566607,0.001701444,0.001220059,0.001112795,0.3787315],"genre_scores_gemma":[0.6798595,0.0005474259,0.0003434202,0.0003150538,0.002274715,0.0001329804,0.00339042,0.0003558767,0.3127806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3395817,"threshold_uncertainty_score":0.999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409282535307391,"score_gpt":0.2077952736906211,"score_spread":0.1937024483375472,"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."}}