{"id":"W4409035793","doi":"10.48498/minmag.2025.239.3.004","title":"АНАЛИЗ СПОСОБОВ ПЕРЕРАБОТКИ МОЛИБДЕНОВЫХ РУД И КОНЦЕНТРАТОВ","year":2025,"lang":"ru","type":"article","venue":"Gornyj žurnal Kazahstana.","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":["insufficient_payload"],"category_scores_codex":[0.000892319,0.0009033742,0.001088226,0.0006716271,0.0004472775,0.0004643752,0.001173291,0.0007422097,0.003351145],"category_scores_gemma":[0.0001395648,0.001038787,0.0005477215,0.0008345315,0.0001667507,0.0004386294,0.0004156763,0.001420848,0.001476493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008742,"about_ca_system_score_gemma":0.000329034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002820035,"about_ca_topic_score_gemma":0.0002074982,"domain_scores_codex":[0.9956802,0.00008737037,0.00148406,0.000903804,0.0003500254,0.001494528],"domain_scores_gemma":[0.9975495,0.0002156613,0.0002726743,0.001369528,0.0001471021,0.0004455869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004215234,0.0005432274,0.006125351,0.00258493,0.002460923,0.000634346,0.002314619,0.01432565,0.00414598,0.1643963,0.6755294,0.1265178],"study_design_scores_gemma":[0.001974893,0.0003036665,0.003520472,0.001904315,0.0005302327,0.0001106545,0.0008003556,0.07154721,0.0059357,0.02028449,0.8908806,0.002207374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2451503,0.02133332,0.1031739,0.005691756,0.01408253,0.00191725,0.0007249822,0.003531224,0.6043947],"genre_scores_gemma":[0.9516795,0.005496532,0.01380513,0.001291733,0.001361385,0.00007941994,0.00006814882,0.0002898494,0.02592833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7065291,"threshold_uncertainty_score":0.999301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006382580675146495,"score_gpt":0.2179667119855054,"score_spread":0.2115841313103589,"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."}}