{"id":"W4386541816","doi":"10.29313/bcsurp.v3i2.8145","title":"Strategi Pengembangan Agribisnis Manggis di Kecamatan Kiarapedes Kabupaten Purwakarta","year":2023,"lang":"en","type":"article","venue":"Bandung Conference Series Urban & Regional Planning","topic":"Agriculture and Agroindustry Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"SWOT analysis; Business; Garcinia mangostana; Agribusiness; Agricultural science; Agriculture; Descriptive statistics; Service (business); Agricultural economics; Marketing; Geography; Mathematics; Economics; Statistics","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":[0.0002596237,0.0004110744,0.0001659617,0.0005516502,0.001244393,0.001516624,0.0004052565,0.0003082437,0.008433301],"category_scores_gemma":[0.0002370829,0.0001639252,0.0001332416,0.0006829681,0.0004113355,0.0008721053,0.0009053162,0.0003584037,0.0009586292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565048,"about_ca_system_score_gemma":0.002669621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004896016,"about_ca_topic_score_gemma":0.02320842,"domain_scores_codex":[0.9998362,0.00003133646,0.000006986583,0.00003594042,0.00002825042,0.00006120047],"domain_scores_gemma":[0.9998201,0.00002712395,0.00002751994,0.000006326285,0.00003609313,0.00008289225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006718389,0.002319112,0.2947325,0.003497967,0.0001903831,0.01475319,0.03190224,0.003433213,0.06627418,0.0274529,0.01769753,0.5370749],"study_design_scores_gemma":[0.00005009118,0.001242321,0.5553502,0.0007991472,0.0001877109,0.003029239,0.1536642,0.003389178,0.01407951,0.004230049,0.263876,0.0001025504],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358758,0.001463257,0.001870518,0.0009908129,0.00004629586,0.0002641865,0.0001968158,0.00005242047,0.05923986],"genre_scores_gemma":[0.9722992,0.001438995,0.004251962,0.00008287023,0.000006813907,0.00008748158,0.0002182068,0.000008867446,0.02160561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008433301,"threshold_uncertainty_score":0.02821225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07732298046313275,"score_gpt":0.2473260042658802,"score_spread":0.1700030238027475,"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."}}