{"id":"W2995931396","doi":"10.31227/osf.io/vbw4p","title":"Daya Dukung Lahan Pertanian, Permukiman, dan Kawasan Lindung di DAS Sembung, Kabupaten Sleman, DIY","year":2018,"lang":"id","type":"preprint","venue":"","topic":"Water and Land Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Forestry; Physics; Geography","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":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001126235,0.001644332,0.001286561,0.0002334463,0.0009784236,0.0009032866,0.002757669,0.0008462245,0.01619158],"category_scores_gemma":[0.00003819499,0.001339432,0.0006539335,0.0003824993,0.0007805591,0.0006270583,0.007681712,0.00124531,0.00796229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000819517,"about_ca_system_score_gemma":0.00006527044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00626504,"about_ca_topic_score_gemma":0.005565859,"domain_scores_codex":[0.9913952,0.000394816,0.001402064,0.003175352,0.001563468,0.002069137],"domain_scores_gemma":[0.9955764,0.00007083316,0.000535692,0.00282071,0.00006588588,0.0009305247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008547777,0.004624405,0.6254232,0.00356338,0.003926993,0.001844404,0.04425982,0.004078735,0.03648997,0.004774823,0.2078052,0.06235432],"study_design_scores_gemma":[0.001785763,0.0006850371,0.4994592,0.0006833251,0.0008908229,0.00006042242,0.002362504,0.007801997,0.01064497,0.0007231795,0.4710709,0.003831945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5517256,0.0003505467,0.001694494,0.003515912,0.004157228,0.003064374,0.0001107998,0.0006114364,0.4347696],"genre_scores_gemma":[0.8424267,0.0007431601,0.0008518206,0.0007653977,0.001419347,0.0001720799,0.0004897049,0.0001962697,0.1529356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2907011,"threshold_uncertainty_score":0.9996304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735917976711658,"score_gpt":0.2569933921102996,"score_spread":0.2396342123431831,"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."}}