{"id":"W189190326","doi":"","title":"Faktor-Faktor Yang Mempengaruhi Foreign Direv Investment Di Indonesia Periode 2000:I-2010:IV","year":2013,"lang":"id","type":"dissertation","venue":"","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Quarter (Canadian coin); Distributed lag; Gross domestic product; Economics; Investment (military); Error correction model; Autoregressive model; Econometric model; Product (mathematics); Econometrics; International economics; Macroeconomics; Cointegration; Mathematics; Geography; Political science; Politics","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":[0.0004828557,0.000285851,0.0003489216,0.000784737,0.0002275095,0.00203536,0.0001593773,0.0002307519,0.00641344],"category_scores_gemma":[0.001325212,0.0001650278,0.0003259205,0.001594761,0.000234987,0.0006846942,0.0003806097,0.0006124285,0.001692173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063609,"about_ca_system_score_gemma":0.0009288622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008542004,"about_ca_topic_score_gemma":0.007446141,"domain_scores_codex":[0.9996622,0.00004450057,0.00003614608,0.00006107052,0.0001277634,0.00006843483],"domain_scores_gemma":[0.998894,0.0003391366,0.0004351271,0.0000513884,0.0002110045,0.00006930508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000461292,0.0002229977,0.8378119,0.0008211953,0.0002883027,0.001087262,0.0009648927,0.01028652,0.0009832125,0.008906403,0.04026935,0.09789661],"study_design_scores_gemma":[0.00003984741,0.0001275718,0.9228207,0.0004871823,0.000323667,0.0008622597,0.002386114,0.01467077,0.003460538,0.001441773,0.05332311,0.00005651815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263436,0.005534114,0.001292224,0.00234987,0.0003056763,0.00004797234,0.01432496,0.0001417695,0.04965982],"genre_scores_gemma":[0.9746969,0.003358544,0.0003426769,0.00007235584,0.00006369464,0.00002083375,0.004856707,0.0000137751,0.01657454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008542004,"threshold_uncertainty_score":0.02145505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316518896010549,"score_gpt":0.2109296635063422,"score_spread":0.1877644745462367,"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."}}