{"id":"W2529751819","doi":"","title":"The missing credit information system in Hungary","year":2011,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credit history; Profit (economics); Credit reference; Point (geometry); Portfolio; Credit risk; Credit enhancement; Business; Credit crunch; Credit card interest; Actuarial science; Finance; Financial system; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00232075,0.00004041237,0.00008503259,0.0000277866,0.000478613,0.00007261533,0.0002310842,0.00002573582,0.00001997289],"category_scores_gemma":[0.0001158121,0.00002378744,0.00002687522,0.00004710752,0.0001667004,0.0002263786,0.00003151771,0.0001526536,0.000006162853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001287241,"about_ca_system_score_gemma":0.00006743179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002352272,"about_ca_topic_score_gemma":0.0003949533,"domain_scores_codex":[0.9992992,0.0002057541,0.0002684213,0.00002113574,0.00009891916,0.0001066013],"domain_scores_gemma":[0.9993103,0.0003123764,0.0002430125,0.00004261823,0.00006485706,0.00002688047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001210179,0.0000207395,0.02683019,0.00001678499,0.00009036589,0.000001255292,0.757095,0.000003430327,0.000001791063,0.116948,0.01487594,0.08399554],"study_design_scores_gemma":[0.0003732933,0.00007665371,0.1837896,0.0004181942,0.00004681389,0.00004464253,0.612156,0.0001528573,0.0000193778,0.006985155,0.195796,0.0001414714],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8709047,0.00125267,0.0004116299,0.007046937,0.001070212,0.00007902014,5.64187e-7,0.000009417174,0.1192249],"genre_scores_gemma":[0.9989784,0.000283448,0.00004013267,0.0002582649,0.0002375375,7.650884e-7,9.429403e-8,0.000001807275,0.0001995229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1809201,"threshold_uncertainty_score":0.3681153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04204756996837401,"score_gpt":0.2715021536362072,"score_spread":0.2294545836678332,"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."}}