{"id":"W7127045902","doi":"10.33096/jat.v1i1.38","title":"EVALUASI PERBEDAAN KADAR NI DAN FE PADA FRONT PENAMBANGAN DENGAN STOCKPILE PADA PT GENETASI AGUNG PERKASA KABUPATEN KONAWE SELATAN","year":2023,"lang":"","type":"article","venue":"Jurnal Aneka Tambang","topic":"Material Selection and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Stockpile","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":[0.0007223375,0.0009719784,0.0006508975,0.0006689589,0.0005457162,0.00107315,0.0004064586,0.0006692462,0.009428483],"category_scores_gemma":[0.0006603565,0.0004396797,0.0007063269,0.0005612639,0.0004403476,0.0007085766,0.0004951915,0.001060759,0.001522667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007668015,"about_ca_system_score_gemma":0.0004732023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002965631,"about_ca_topic_score_gemma":0.00700361,"domain_scores_codex":[0.9991813,0.00008359944,0.00005862108,0.0002126311,0.0003749312,0.00008884731],"domain_scores_gemma":[0.9991577,0.0002744076,0.0001204261,0.00008329409,0.0002860709,0.00007814502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004191923,0.000176982,0.002407952,0.0003065344,0.00002774781,0.0001033904,0.0002046111,0.0003336993,0.9808705,0.0002168449,0.0003049081,0.01462756],"study_design_scores_gemma":[0.00002072359,0.001803313,0.01789212,0.0000628235,0.0001496947,0.0001775749,0.0004693829,0.001541851,0.9630049,0.000299447,0.01453877,0.00003929411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511337,0.004683883,0.02087776,0.0002827977,0.0002491051,0.0003386532,0.002410888,0.0004817628,0.01954154],"genre_scores_gemma":[0.8782972,0.003294426,0.0304831,0.0003144922,0.00002884645,0.0004931916,0.003049481,0.0004985373,0.08354071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009428483,"threshold_uncertainty_score":0.03154141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798302553669149,"score_gpt":0.2676551558520112,"score_spread":0.2296721303153197,"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."}}