{"id":"W4400585512","doi":"10.22437/jop.v9i2.29661","title":"SINTESIS DAN KARAKTERISASI NANOKOMPOSIT Fe3O4/TiO2 BERBASIS PASIR BESI SUNGAI BATANGHARI","year":2024,"lang":"id","type":"article","venue":"JOURNAL ONLINE OF PHYSICS","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Materials 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"],"consensus_categories":[],"category_scores_codex":[0.0002458387,0.0005082904,0.0006571464,0.0004400272,0.0001675212,0.0002003517,0.0005063049,0.0003641009,0.00004462388],"category_scores_gemma":[0.0000863169,0.0005222401,0.000458062,0.001504029,0.0001230692,0.0003363989,0.0001051911,0.001867564,0.00007141098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002815189,"about_ca_system_score_gemma":0.0001570455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001213391,"about_ca_topic_score_gemma":0.000006094126,"domain_scores_codex":[0.9976699,0.00003519482,0.001014243,0.0003214233,0.0004089772,0.0005502948],"domain_scores_gemma":[0.9986497,0.0001730737,0.0002013389,0.0004933404,0.0003271162,0.0001554833],"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":[0.00004604181,0.002642822,0.00121355,0.003914026,0.005647609,0.001277322,0.002070205,0.0618076,0.5383607,0.05034737,0.04631624,0.2863566],"study_design_scores_gemma":[0.002634647,0.001911879,0.009332169,0.01384453,0.003955004,0.003080138,0.00150318,0.2503617,0.4065688,0.009455337,0.2931179,0.004234654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467514,0.01016628,0.0298223,0.004617625,0.004971459,0.0002498999,0.0006883236,0.001054675,0.001677996],"genre_scores_gemma":[0.9822552,0.001221085,0.01228512,0.00005885578,0.002121605,0.000006440701,0.0001088101,0.0001990353,0.001743878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2821219,"threshold_uncertainty_score":0.9997229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105018649768042,"score_gpt":0.2447542488537227,"score_spread":0.2337040623560423,"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."}}