{"id":"W3161279880","doi":"10.31258/jil.13.2.p.162-178","title":"PEMODELAN PERUBAHAN PENGGUNAAN LAHAN DI KABUPATEN KAMPAR","year":2019,"lang":"en","type":"article","venue":"Jurnal Ilmu Lingkungan","topic":"Agricultural Development and Management","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Land use; Geography; Markov chain; Environmental science; Paddy field; Forestry; Agroforestry; Mathematics; Civil engineering; Statistics; Engineering","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":[0.000241575,0.0002594826,0.0002624129,0.0000227548,0.0002656492,0.0001673323,0.0004522324,0.0001078096,0.0005366951],"category_scores_gemma":[0.00001296164,0.0000905368,0.0001622193,0.0003170608,0.00002618863,0.0002663458,0.0001825795,0.0002448463,0.0007399106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005464341,"about_ca_system_score_gemma":0.000009675779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001769577,"about_ca_topic_score_gemma":0.0002911632,"domain_scores_codex":[0.9983292,0.00005489419,0.0003080644,0.0004182867,0.0003949557,0.0004945515],"domain_scores_gemma":[0.999442,0.00005283403,0.0001369203,0.000086222,0.00008683951,0.0001951374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001649897,0.0004011659,0.253889,0.00006681063,0.0002205627,0.00006100314,0.001651009,0.0001223941,0.5935938,0.006359454,0.00966051,0.1338093],"study_design_scores_gemma":[0.0003411274,0.0003381368,0.8076274,0.00006227738,0.00003546491,0.00001515398,0.001174932,0.0003574338,0.004042916,0.0003825368,0.1849884,0.0006342026],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875872,0.0001009495,0.000003026353,0.001724587,0.0004570252,0.0003524756,0.00001196358,0.0001637162,0.009599052],"genre_scores_gemma":[0.9867308,0.00007133274,0.0001059259,0.0003044017,0.000489473,0.00001266823,0.0001647268,0.000002495304,0.01211813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.589551,"threshold_uncertainty_score":0.9510301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089260906464902,"score_gpt":0.1835084299863864,"score_spread":0.1726158209217374,"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."}}