{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006147551,0.0007193129,0.001263284,0.0006922103,0.000589693,0.0003894073,0.001014652,0.0004321818,0.000438595],"category_scores_gemma":[0.0002164611,0.0007825193,0.0004893278,0.0006521299,0.0006533439,0.0008425373,0.0003297389,0.0004129138,0.002419374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004088649,"about_ca_system_score_gemma":0.00008655092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00587045,"about_ca_topic_score_gemma":0.0008668661,"domain_scores_codex":[0.9954917,0.000061375,0.001593868,0.001415321,0.0000766075,0.001361153],"domain_scores_gemma":[0.9970422,0.0001554745,0.0006912831,0.001292273,0.0001381736,0.0006806254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001021156,0.0001965015,0.8998623,0.00005276397,0.0002494144,0.00001249843,0.003222288,0.00004318384,0.0002326483,0.08407657,0.009470178,0.00247956],"study_design_scores_gemma":[0.001570979,0.000524402,0.8967863,0.00003413931,0.00005793691,0.00002344863,0.0008945772,0.003796343,0.001701935,0.003410864,0.08975212,0.001447015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9324975,0.0008557403,0.0002332072,0.002376189,0.001292968,0.0004186949,0.0003770729,0.0001801067,0.06176851],"genre_scores_gemma":[0.9950195,0.0002408286,0.0001693312,0.002068021,0.001370286,0.00008657888,0.0001509373,0.0001268511,0.0007676515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08066571,"threshold_uncertainty_score":0.9994625,"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."}}