{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008546985,0.0005704976,0.0004709743,0.0006917198,0.001153639,0.003029011,0.0009653152,0.0006789846,0.04725348],"category_scores_gemma":[0.001238501,0.0004662395,0.0004454576,0.001204836,0.0004725638,0.002191739,0.002377822,0.001204235,0.01295945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575714,"about_ca_system_score_gemma":0.003925416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02854846,"about_ca_topic_score_gemma":0.04748014,"domain_scores_codex":[0.9992445,0.0001115342,0.00004318699,0.0001530719,0.000285336,0.0001624234],"domain_scores_gemma":[0.9992059,0.00009722687,0.00004447525,0.0001560333,0.00037578,0.0001206229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00112238,0.0004078352,0.04437266,0.00198331,0.0001566083,0.001116525,0.005164228,0.007871944,0.07671015,0.02957724,0.1039816,0.7275354],"study_design_scores_gemma":[0.00006091593,0.0003801017,0.03913406,0.0004491171,0.0001319049,0.0003966104,0.004823029,0.008532053,0.03265551,0.004529332,0.9087874,0.0001200833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1984557,0.002829658,0.0827974,0.005594891,0.001501922,0.001056927,0.01358385,0.01253927,0.6816405],"genre_scores_gemma":[0.5365047,0.00331525,0.06835037,0.0009490596,0.0001874502,0.000474704,0.01086299,0.002370597,0.3769848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04725348,"threshold_uncertainty_score":0.1580787,"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."}}