{"id":"W2986508374","doi":"10.14203/metalurgi.v26i1.7","title":"MASIH TERBUKANYA PELUANG PENELITIAN PROSES CARON UNTUK MENGOLAH LATERIT KADAR RENDAH DI INDONESIA","year":2015,"lang":"id","type":"article","venue":"Metalurgi","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005532044,0.0005815542,0.0006645859,0.00027412,0.0002125081,0.000421948,0.0003439328,0.0003312501,0.000749079],"category_scores_gemma":[0.0001149327,0.0005912285,0.0001933374,0.0005249346,0.00008762021,0.001006079,0.00009408604,0.0005005936,0.001588968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002279062,"about_ca_system_score_gemma":0.0002241358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001670481,"about_ca_topic_score_gemma":0.0002368997,"domain_scores_codex":[0.9971,0.0001829448,0.0007727901,0.0005923235,0.0006763868,0.0006755472],"domain_scores_gemma":[0.9983672,0.00005982837,0.0001998764,0.0005718615,0.000296639,0.0005046278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00237136,0.004487128,0.05525155,0.01465367,0.007723894,0.002372933,0.08360431,0.04898753,0.4519203,0.01903355,0.260707,0.04888673],"study_design_scores_gemma":[0.002281636,0.00032635,0.01274219,0.0002258952,0.0004371038,0.0001719431,0.00259611,0.006254917,0.05175108,0.0002355798,0.9214769,0.001500324],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8583873,0.01407384,0.003150656,0.001507138,0.005678596,0.001224371,0.0001415915,0.001376695,0.1144598],"genre_scores_gemma":[0.9698715,0.0003112035,0.0004899559,0.0001462869,0.0005169821,0.00008378458,0.000131918,0.0001356719,0.02831271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6607699,"threshold_uncertainty_score":0.9996539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03617114604158186,"score_gpt":0.2665279424637623,"score_spread":0.2303567964221804,"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."}}