{"id":"W2615234330","doi":"10.29103/tj.v3i1.44","title":"PENGARUH TATAGUNA LAHAN TERHADAP BESARAN BANJIR DAN SEDIMEN DAS KRUENG KEUREUTO ACEH UTARA","year":2016,"lang":"id","type":"article","venue":"Teras Jurnal Jurnal Teknik Sipil","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Forestry; Geography","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":[0.00166582,0.0008602709,0.0008822609,0.001572062,0.001898552,0.00389518,0.0009338621,0.0008565913,0.02807071],"category_scores_gemma":[0.002554572,0.0004769883,0.0009400867,0.00266502,0.001119049,0.002608694,0.001559132,0.00174608,0.005511806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637322,"about_ca_system_score_gemma":0.002959501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01106687,"about_ca_topic_score_gemma":0.03130623,"domain_scores_codex":[0.9986941,0.0002570673,0.00009611071,0.0003211111,0.0004795491,0.0001520654],"domain_scores_gemma":[0.9977805,0.0006658317,0.000320806,0.0002179328,0.0008694428,0.00014545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002313785,0.001099704,0.1557851,0.007907794,0.0008013964,0.002872608,0.02066295,0.002257471,0.09971001,0.0204946,0.0340905,0.6520041],"study_design_scores_gemma":[0.0000728692,0.001524345,0.2791158,0.001541517,0.0008021091,0.002179523,0.03343163,0.001880097,0.06309199,0.01035831,0.6056443,0.0003574394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7253914,0.01367603,0.03935568,0.005479441,0.00141773,0.0009114712,0.01473383,0.001055164,0.1979792],"genre_scores_gemma":[0.7980477,0.009158487,0.04327401,0.001820523,0.0002690498,0.000592879,0.006210508,0.0005713435,0.1400556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02807071,"threshold_uncertainty_score":0.09390593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02197092487131443,"score_gpt":0.277952037979559,"score_spread":0.2559811131082446,"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."}}