{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006282476,0.0007794177,0.0004099854,0.0005560038,0.008001843,0.007671271,0.001424389,0.002432502,0.3100196],"category_scores_gemma":[0.001101696,0.0005043746,0.000377202,0.0007780052,0.002085451,0.002188943,0.0029179,0.002223236,0.07805708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01862637,"about_ca_system_score_gemma":0.01517442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8539658,"about_ca_topic_score_gemma":0.9594654,"domain_scores_codex":[0.9993073,0.0000399265,0.00001224986,0.0001233737,0.0002114605,0.0003057109],"domain_scores_gemma":[0.999059,0.00004616727,0.0000293335,0.00004437379,0.0004415543,0.0003794943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001169708,0.00005768316,0.003110825,0.0001483531,0.0000112894,0.0005370272,0.003454258,0.0001049132,0.001927588,0.01703878,0.8886651,0.0848271],"study_design_scores_gemma":[0.000004154925,0.000008950978,0.002001122,0.00004721342,0.000003887488,0.00003532727,0.00194612,0.0000379344,0.0002721355,0.0002856028,0.9953437,0.00001382551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01042262,0.004937431,0.001432868,0.0424194,0.003894171,0.0001249639,0.00245146,0.00117333,0.9331438],"genre_scores_gemma":[0.01560359,0.001113886,0.000600725,0.001732335,0.00008351391,0.00001856071,0.0004340697,0.0002393546,0.9801739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3100196,"threshold_uncertainty_score":0.9841734,"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."}}