{"id":"W3094552140","doi":"10.20961/shes.v3i1.45057","title":"Analysis of Landslide Vulnerability in Agribusiness Development Efforts Environmental Insight in Ngargoyoso District","year":2020,"lang":"en","type":"article","venue":"Social Humanities and Educational Studies (SHEs) Conference Series","topic":"Q Methodology Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Landslide; Zoning; Hectare; Geography; Land use; Vulnerability (computing); Sustainable development; Agribusiness; Sustainability; Water resource management; Unit (ring theory); Land development; Agriculture; Hydrology (agriculture); Environmental science; Geology; Civil engineering; Geotechnical engineering; Engineering; Mathematics; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0009034349,0.0001626351,0.000607373,0.0002536502,0.0004470891,0.00006413677,0.000264324,0.0000653383,0.0003897719],"category_scores_gemma":[0.001107675,0.0001394591,0.00006640695,0.0009278918,0.0008688059,0.0002682916,0.0002219079,0.0001396474,0.000006012584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001322739,"about_ca_system_score_gemma":0.0002275726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001481805,"about_ca_topic_score_gemma":0.005129435,"domain_scores_codex":[0.9979327,0.000269905,0.0007538872,0.0004147232,0.0004349601,0.000193852],"domain_scores_gemma":[0.9980637,0.001357564,0.0002376535,0.000128274,0.0001757773,0.00003706257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006928179,0.0001681532,0.82181,0.00003369499,0.0002572341,9.318334e-7,0.1377036,0.00004450291,0.00007233005,0.03207836,0.0002638658,0.00749806],"study_design_scores_gemma":[0.0001334429,0.00001782798,0.9262288,0.000006608859,0.00004552774,3.001752e-7,0.05739046,0.00001382678,0.00006956633,0.009876963,0.00608194,0.0001347661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931669,0.0006054596,0.0001343123,0.004871993,0.00009274135,0.000173698,0.00007199422,0.000007248791,0.0008756163],"genre_scores_gemma":[0.998661,0.0001872582,0.0004951786,0.0002007353,0.00007274023,0.0001170471,0.00007549667,0.000004322907,0.0001862033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1044188,"threshold_uncertainty_score":0.5686977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.329389066790264,"score_gpt":0.4128585284218843,"score_spread":0.08346946163162028,"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."}}