{"id":"W4400515007","doi":"10.56409/kreis.2024.7.1.45","title":"A Study on the Difference Analysis of Residential Satisfaction of the Military Personnel between the MZ generation and the older generation","year":2024,"lang":"en","type":"article","venue":"KOREA REAL ESTATE INDUSTRY SOCIETY","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"First generation; Laundry; Third generation; Quarter (Canadian coin); Psychology; Engineering; Gerontology; Business; Political science; Medicine; Environmental health; Geography; Telecommunications; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.002840075,0.000107366,0.0001819936,0.00003900947,0.001023375,0.0001290618,0.0003559925,0.0001729199,0.00004145988],"category_scores_gemma":[0.0001780672,0.00004767132,0.0002227183,0.0009546913,0.001125778,0.0001368527,0.0001218037,0.0006521302,7.321376e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009468188,"about_ca_system_score_gemma":0.0002412858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05881175,"about_ca_topic_score_gemma":0.01255736,"domain_scores_codex":[0.9970716,0.001361912,0.0002730523,0.0002476621,0.0008844988,0.000161251],"domain_scores_gemma":[0.9984643,0.0009022242,0.0001058286,0.0003660565,0.0001281466,0.00003341346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002928149,0.00007489244,0.4956292,0.00001960987,0.002072866,0.000002252882,0.4666088,0.0003511234,0.0006536521,0.005718095,0.005079338,0.0237609],"study_design_scores_gemma":[0.0003012092,0.00005571458,0.8311601,0.00002253332,0.0007065684,2.13993e-7,0.1552288,0.01184192,0.0002710234,0.0002201286,0.0001048233,0.00008692741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990041,0.00005131304,0.00003247134,0.007222307,0.0001827755,0.0007383252,0.00006251144,0.0000146181,0.001654722],"genre_scores_gemma":[0.9983871,0.0004978865,0.000007961696,0.00005120577,0.0003823374,0.0000373149,0.00001059629,0.000006527129,0.0006190573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.335531,"threshold_uncertainty_score":0.9474557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1255301506026847,"score_gpt":0.3650816453449597,"score_spread":0.239551494742275,"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."}}