{"id":"W7135581220","doi":"","title":"The development of the mortgage market in the Czech Republic","year":2011,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Education, Psychology, and Social Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Quarter (Canadian coin); Bachelor; Market development; Mortgage insurance","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":[],"consensus_categories":[],"category_scores_codex":[0.0008350434,0.0001518648,0.0002370438,0.001701605,0.001368479,0.004953924,0.0004169273,0.0005524105,0.007061177],"category_scores_gemma":[0.001513527,0.0002876609,0.000342275,0.001659124,0.001397503,0.002198326,0.002352025,0.00173099,0.0007581854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004908467,"about_ca_system_score_gemma":0.006392339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02448699,"about_ca_topic_score_gemma":0.02921268,"domain_scores_codex":[0.9992473,0.0001107253,0.00005645612,0.0001098262,0.0002224538,0.0002533143],"domain_scores_gemma":[0.9995018,0.00007471956,0.0001346226,0.00002380295,0.0001190748,0.0001459979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002052675,0.0002921719,0.0673773,0.000991752,0.0000780607,0.002567824,0.01786894,0.004371009,0.009802133,0.6698763,0.02341642,0.2031528],"study_design_scores_gemma":[0.00004104749,0.0001567864,0.479827,0.001431113,0.00004014307,0.001553206,0.01333059,0.003022403,0.00340075,0.02664665,0.4703994,0.0001508605],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.692405,0.02780578,0.001859366,0.006465046,0.0002809706,0.0001313565,0.0009238389,0.0000953567,0.2700332],"genre_scores_gemma":[0.9827911,0.005387515,0.0005487719,0.0001706025,0.00002633419,0.00001390921,0.0001659926,0.00001953003,0.01087616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02448699,"threshold_uncertainty_score":0.04868889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03073311016275211,"score_gpt":0.3477572385297462,"score_spread":0.3170241283669941,"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."}}