{"id":"W4401962103","doi":"10.33772/jc.v5i1.84","title":"KEANEKARAGAMAN VEGETASI ULTRABASA DI HUTAN LINDUNG NANGA-NANGA PAPALIA KOTA KENDARI","year":2024,"lang":"en","type":"article","venue":"Jurnal Celebica Jurnal Kehutanan Indonesia","topic":"Plant Growth and Agriculture Techniques","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Medicine","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"],"consensus_categories":[],"category_scores_codex":[0.0006743202,0.0007737335,0.000732575,0.0001324926,0.0007939822,0.0008784148,0.001070506,0.000526747,0.0002885298],"category_scores_gemma":[0.00005557596,0.000308763,0.0006501285,0.001473468,0.0001909015,0.0006201029,0.0001552194,0.001513422,0.0001939069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001723603,"about_ca_system_score_gemma":0.00008505837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001920782,"about_ca_topic_score_gemma":0.0003590095,"domain_scores_codex":[0.9954275,0.0002600681,0.0009758947,0.001011556,0.001050664,0.00127426],"domain_scores_gemma":[0.9982193,0.0003924406,0.0002865929,0.0001959617,0.0001695085,0.0007362313],"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":[0.000162634,0.0002071521,0.01911104,0.0001056382,0.0001877273,0.002238,0.0001716677,0.000003823322,0.8758711,0.003880293,0.0154307,0.08263023],"study_design_scores_gemma":[0.0006506806,0.001302107,0.6447297,0.001737179,0.0003703529,0.005372381,0.0003210112,0.0003070027,0.08404349,0.001689593,0.2568582,0.00261832],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860691,0.003035425,0.0000217739,0.00394306,0.0009279868,0.0004953622,0.0003579833,0.0009705348,0.004178712],"genre_scores_gemma":[0.9951146,0.0006782797,0.00009948763,0.0004610767,0.002645657,0.00005032318,0.0002444198,0.00001371812,0.0006924546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7918276,"threshold_uncertainty_score":0.9999365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195207243149517,"score_gpt":0.2154663391909229,"score_spread":0.2035142667594277,"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."}}