{"id":"W3123279182","doi":"10.29122/alami.v4i2.4497","title":"Model Implementasi Bioenginering Sebagai Upaya Mitigasi Longsor","year":2021,"lang":"en","type":"article","venue":"Jurnal Alami Jurnal Teknologi Reduksi Risiko Bencana","topic":"Plant Growth and Agriculture Techniques","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Landslide; Vegetation (pathology); Hazard; Agroforestry; Coffea arabica; Agriculture; Land use; Geography; Forestry; Environmental science; Ecology; Geology; Biology; Horticulture","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":[0.0003626989,0.0005423141,0.0005792648,0.00006454173,0.0005323306,0.0002605438,0.0007975166,0.0003437498,0.0003508753],"category_scores_gemma":[0.0001406094,0.000223864,0.0004261475,0.000904831,0.0001132852,0.0004170649,0.0003198212,0.00080066,0.00003831245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618122,"about_ca_system_score_gemma":0.0000910517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001622426,"about_ca_topic_score_gemma":0.001036542,"domain_scores_codex":[0.9965217,0.0001340994,0.0007691763,0.0007962582,0.0006372718,0.00114152],"domain_scores_gemma":[0.9985629,0.0001770345,0.000318784,0.0001803754,0.0002856603,0.0004752956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004614208,0.0001927293,0.02242757,0.00002060753,0.0001250432,0.0009442351,0.00004687234,0.0001367079,0.9072666,0.001770025,0.01910408,0.04791935],"study_design_scores_gemma":[0.001350417,0.00125459,0.3602159,0.000467155,0.0003357877,0.006629329,0.001855396,0.006275533,0.548331,0.006203136,0.06381278,0.003268959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901686,0.0009597412,0.0001029116,0.004663899,0.000268243,0.0002530453,0.0004399989,0.0005007951,0.002642741],"genre_scores_gemma":[0.9939616,0.001164184,0.001886734,0.0008258075,0.0007356125,0.00003658866,0.000397886,0.000006154367,0.0009854427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3589356,"threshold_uncertainty_score":0.9128907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200582979282089,"score_gpt":0.2312877482292299,"score_spread":0.209281918436409,"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."}}