{"id":"W7110515409","doi":"","title":"EKSTRAKSI MAGNETIT (Fe3O4) DARI PASIR BESI PESISIR BARATSEBAGAI NANOPARTIKEL DENGAN METODE KOPRESIPITASI","year":2024,"lang":"","type":"other","venue":"Digilib Repository Unila (Lampung University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Scanning electron microscope; Conduction electron; Micrograph","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":[0.0001836691,0.0004500354,0.0002993374,0.000396403,0.0004782109,0.0004969799,0.0003267833,0.0005005899,0.006203738],"category_scores_gemma":[0.0001811904,0.0003319337,0.0003580386,0.0003089165,0.0002095472,0.0005126174,0.0003575713,0.0005751456,0.00184065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004853811,"about_ca_system_score_gemma":0.0003908534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002055535,"about_ca_topic_score_gemma":0.007572661,"domain_scores_codex":[0.999805,0.00001419944,0.000009146066,0.00005189586,0.00008372129,0.00003605162],"domain_scores_gemma":[0.9998813,0.00002113258,0.00001829598,0.00001129615,0.00005472911,0.0000133468],"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":[0.0001557123,0.00002131344,0.0007921088,0.0002615092,0.0000120996,0.0001800142,0.00007853421,0.0002022244,0.9847891,0.0002631448,0.0006104727,0.0126338],"study_design_scores_gemma":[0.00001177541,0.0002376433,0.006398234,0.00002717936,0.000043651,0.0004257999,0.0002031169,0.0009022544,0.9567831,0.0002203296,0.03472559,0.00002129215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.904038,0.005874689,0.02984621,0.0008062951,0.0002686273,0.0001403705,0.001293599,0.001201706,0.05653053],"genre_scores_gemma":[0.8897786,0.002219538,0.02576208,0.0002940751,0.00003166146,0.0001014779,0.001082008,0.0002804602,0.08045016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006203738,"threshold_uncertainty_score":0.02075356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007425143316913698,"score_gpt":0.1904339207270553,"score_spread":0.1830087774101416,"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."}}