{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001169016,0.0001394243,0.00009447631,0.0004454502,0.00042884,0.0003252029,0.0001345202,0.00008002121,0.001604734],"category_scores_gemma":[0.000131267,0.00009615925,0.0000552343,0.0003707272,0.0001857478,0.0001973579,0.0002620514,0.0001131444,0.0002083808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002291483,"about_ca_system_score_gemma":0.0003858726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005960594,"about_ca_topic_score_gemma":0.03955025,"domain_scores_codex":[0.9999512,0.000007105671,0.000003034434,0.00001485865,0.000009575085,0.00001423199],"domain_scores_gemma":[0.9999114,0.00001547039,0.00003012965,0.000007124849,0.00001529435,0.00002049669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001029574,0.00007519579,0.9251184,0.0001038901,0.00002192944,0.0009110601,0.004507228,0.0001050167,0.01544121,0.0003238416,0.0002473578,0.05304199],"study_design_scores_gemma":[0.000001085932,0.0000334398,0.9959099,0.00001213295,0.000005815683,0.0003982566,0.00173111,0.0000912946,0.0004549645,0.00004304591,0.001316742,0.00000228472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981381,0.00007666108,0.0001302962,0.00001346312,0.000001150662,0.000007046267,0.0000766602,0.000003781979,0.001552952],"genre_scores_gemma":[0.9981014,0.0000777428,0.0003556253,0.000007923159,0.000001183904,0.00001136354,0.0001312842,0.000001058978,0.001312543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005960594,"threshold_uncertainty_score":0.01185179,"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."}}