{"id":"W4382814039","doi":"10.31219/osf.io/sk7wn","title":"Tata Kelola Taman Hutan Raya Nipa-Nipa","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Agricultural and Environmental Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Forestry; Sustainability; Vegetation (pathology); Limiting; Geography; Environmental resource management; Environmental planning; Business; Ecology; Environmental science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001826412,0.0001743005,0.0001511382,0.0005258394,0.002268739,0.0011756,0.0003286792,0.0002181046,0.01519353],"category_scores_gemma":[0.0003230356,0.0001580653,0.0001624931,0.0009128659,0.0003436299,0.0006478312,0.0009746848,0.0003879326,0.001528276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000784771,"about_ca_system_score_gemma":0.001778042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005160338,"about_ca_topic_score_gemma":0.02379191,"domain_scores_codex":[0.999891,0.00001604068,0.000005555736,0.00002266058,0.00002387903,0.00004085725],"domain_scores_gemma":[0.9997268,0.00005063846,0.00006831295,0.00002725708,0.00004747607,0.00007954159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004379105,0.0007378536,0.5308174,0.001157197,0.00008862987,0.009365082,0.02382653,0.001188971,0.0276005,0.01515055,0.02160237,0.368027],"study_design_scores_gemma":[0.0000290745,0.0003559816,0.7603247,0.0002313493,0.00009849921,0.006747547,0.03344825,0.001683757,0.002512328,0.002727925,0.191781,0.00005953043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463171,0.001338233,0.001682801,0.000820767,0.0000967963,0.000193103,0.0007242459,0.00008929232,0.04873764],"genre_scores_gemma":[0.9676074,0.000823117,0.003128097,0.000226318,0.00003179939,0.0001873783,0.0009971125,0.00002118702,0.02697753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01519353,"threshold_uncertainty_score":0.05082738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0874475132638968,"score_gpt":0.3204904190158532,"score_spread":0.2330429057519564,"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."}}