{"id":"W2971487891","doi":"10.23887/jjpe.v10i2.20041","title":"ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT HARGA PERUMAHAN DI KABUPATEN BULELENG","year":2019,"lang":"id","type":"article","venue":"Jurnal Pendidikan Ekonomi Undiksha","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Mathematics; Physics; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002532738,0.0006308113,0.0005932245,0.001826877,0.001575002,0.002416702,0.0006472003,0.0004970547,0.02479956],"category_scores_gemma":[0.009867256,0.0004028105,0.0007519808,0.002349042,0.0008364453,0.001357796,0.00158484,0.001137212,0.002958866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162665,"about_ca_system_score_gemma":0.002256063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006575995,"about_ca_topic_score_gemma":0.01030719,"domain_scores_codex":[0.9978278,0.0005684721,0.0002246119,0.0003711472,0.0007632934,0.0002446666],"domain_scores_gemma":[0.9911284,0.004031343,0.001387009,0.0006322149,0.002370346,0.0004506448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008390301,0.0005077266,0.6615638,0.002599001,0.0005266868,0.001247695,0.03899161,0.000789375,0.008465015,0.007923569,0.01943737,0.2571092],"study_design_scores_gemma":[0.00003163478,0.0003859815,0.8801622,0.0005900685,0.0002774987,0.0007001839,0.03941251,0.0009537605,0.005655181,0.002607626,0.06913234,0.00009104462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232923,0.002841661,0.007440437,0.001605961,0.0001855587,0.0006733153,0.003617278,0.0002067839,0.06013673],"genre_scores_gemma":[0.9385532,0.002115888,0.008176967,0.0002814809,0.00006784628,0.0009619154,0.002055028,0.00007524258,0.04771243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02479956,"threshold_uncertainty_score":0.08296275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176927443424398,"score_gpt":0.2113518209192189,"score_spread":0.189582546484975,"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."}}