{"id":"W2901041105","doi":"10.35791/agrsosek.14.3.2018.21586","title":"ANALISIS PERANAN KATEGORI EKONOMI BASIS DAN EFISIENSI PERTAMBAHAN INVESTASI DI KABUPATEN MINAHASA UTARA","year":2018,"lang":"en","type":"article","venue":"AGRI-SOSIOEKONOMI","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Economic base analysis; Geography; Gross domestic product; Agriculture; Agricultural economics; Socioeconomics; Environmental protection; Forestry; Economic growth; Economics; Archaeology","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":[0.0004467231,0.0003296036,0.0002482905,0.001247619,0.000227644,0.00117411,0.0002389678,0.0001505248,0.004088371],"category_scores_gemma":[0.0009869613,0.0001210578,0.0002553809,0.001697266,0.0002103467,0.0006765114,0.000453938,0.0002656114,0.0006453051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008162285,"about_ca_system_score_gemma":0.0006724605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01470123,"about_ca_topic_score_gemma":0.02642414,"domain_scores_codex":[0.9997643,0.00003478172,0.00002101243,0.00005075664,0.00008003614,0.00004915193],"domain_scores_gemma":[0.9994788,0.000176534,0.0001228002,0.00002103562,0.0001493449,0.00005155543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007873373,0.00006082185,0.9449725,0.0001774312,0.0001110748,0.0004792955,0.001767342,0.001067022,0.0008597833,0.001745034,0.001832269,0.04684873],"study_design_scores_gemma":[0.00000293943,0.00005102643,0.9832696,0.00006591457,0.00006308763,0.0001835844,0.005062248,0.002460697,0.0004900347,0.0004175234,0.007925303,0.000008060067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902086,0.0006332743,0.0006425911,0.0001895005,0.00001724364,0.00002091589,0.0008440106,0.00001564035,0.007428118],"genre_scores_gemma":[0.9927422,0.0005247272,0.0005340021,0.00001623236,0.00001147264,0.00001915517,0.0009729114,0.000005759009,0.005173513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01470123,"threshold_uncertainty_score":0.02923131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03378501219391741,"score_gpt":0.2135896950551004,"score_spread":0.179804682861183,"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."}}