{"id":"W4412697944","doi":"10.59465/jpht.v12i2.881","title":"Model Volume Pohon Sengon Untuk Menilai Kehilangan Keuntungan Petani Hutan Rakyat","year":2015,"lang":"id","type":"article","venue":"Jurnal Penelitian Hutan Tanaman","topic":"Plant Growth and Agriculture Techniques","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Chemistry; Volume (thermodynamics); Physics; Thermodynamics","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":[0.0002823354,0.0008537988,0.0005868146,0.0003874894,0.0004001233,0.001247931,0.0007720002,0.0006023398,0.006176503],"category_scores_gemma":[0.0007219862,0.000351471,0.00092147,0.0003900948,0.0002831152,0.001187538,0.0005855938,0.000660417,0.001351141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006162564,"about_ca_system_score_gemma":0.001033869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01209164,"about_ca_topic_score_gemma":0.01351469,"domain_scores_codex":[0.9998156,0.00003162713,0.00001178758,0.00006224855,0.00006014362,0.00001855276],"domain_scores_gemma":[0.9997575,0.0001121669,0.00002356404,0.00002236417,0.00007061459,0.00001373888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009504088,0.000415048,0.03127933,0.001537785,0.0002973452,0.000424861,0.0006820644,0.63734,0.1078618,0.01023456,0.006465421,0.2025114],"study_design_scores_gemma":[0.00006563393,0.0005019007,0.01616514,0.000106338,0.0002315626,0.0001892999,0.0005024933,0.9163046,0.03435082,0.00551099,0.02595622,0.0001150481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6533786,0.002040724,0.2799138,0.0006907956,0.0003625836,0.0003239686,0.003550093,0.003333473,0.05640598],"genre_scores_gemma":[0.9407822,0.0008271618,0.03656319,0.0001043434,0.00002735368,0.0002318002,0.002518701,0.0003445247,0.01860066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01209164,"threshold_uncertainty_score":0.02404249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04063787581267237,"score_gpt":0.2320252147863198,"score_spread":0.1913873389736474,"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."}}