{"id":"W4250581254","doi":"10.33369/pendipa.v2i1.4423","title":"POTENSI RAWAN BANJIR KECAMATAN MUARA BANGKAHULU SEBAGAI PENUNJANG PEMBELAJARAN MATERI PEMANASAN GLOBAL DI SMPN 11 KOTA BENGKULU","year":2018,"lang":"id","type":"article","venue":"PENDIPA Journal of Science Education","topic":"STEM Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Forestry; Physics; Agricultural science; Geography; Environmental science","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.007734608,0.0005814719,0.00074103,0.0009558527,0.00334122,0.001778575,0.003047531,0.0002984367,0.002105541],"category_scores_gemma":[0.001636503,0.0005718443,0.00032576,0.004457843,0.005472736,0.00470999,0.0002532612,0.0005282814,0.0008690759],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003393695,"about_ca_system_score_gemma":0.01692231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002265219,"about_ca_topic_score_gemma":0.0008517657,"domain_scores_codex":[0.9917259,0.0007425599,0.001646341,0.0009981879,0.00330756,0.001579496],"domain_scores_gemma":[0.991054,0.0001878348,0.002566174,0.0008918127,0.003999951,0.001300205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005412636,0.00464589,0.4205554,0.0005329915,0.0002962214,0.00006342732,0.3669285,0.00002915958,0.02753319,0.03277592,0.08839658,0.0577014],"study_design_scores_gemma":[0.0007417233,0.0007086825,0.8247209,0.0009539892,0.000318254,0.0005787791,0.1413396,0.00008241753,0.00353295,0.002378125,0.02369702,0.0009475816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360799,0.001074203,0.0001197787,0.009130904,0.02836385,0.0006455609,0.00002612991,0.00004695174,0.02451272],"genre_scores_gemma":[0.9894423,0.0002366112,0.0009673227,0.0005003332,0.006300861,0.000009790557,0.00001579158,0.00004263113,0.002484329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4041655,"threshold_uncertainty_score":0.9999089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091997380398527,"score_gpt":0.3488631882479939,"score_spread":0.3279432144440086,"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."}}