{"id":"W2019390154","doi":"10.1179/037178404225004274","title":"Decision making using the analytic hierarchy process in mining engineering","year":2004,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy Section A","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Analytic hierarchy process; Judgement; Intuition; Computer science; Decision analysis; Management science; Operations research; Data mining; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02706475,0.001619902,0.002600464,0.006076497,0.002463942,0.006969648,0.002554731,0.002621023,0.002265647],"category_scores_gemma":[0.03091989,0.0009807093,0.00189537,0.01127774,0.006076733,0.004484462,0.003593391,0.004236839,0.0006887777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004322795,"about_ca_system_score_gemma":0.006230899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006356932,"about_ca_topic_score_gemma":0.005168491,"domain_scores_codex":[0.9459426,0.04170014,0.002380499,0.001506709,0.007854976,0.0006150882],"domain_scores_gemma":[0.9811217,0.01589438,0.000834164,0.0005665105,0.001341173,0.0002420957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000129474,0.0002040916,0.001219367,0.003117614,0.0003588962,0.0005301032,0.003291711,0.197391,0.001274302,0.5251197,0.005061349,0.2623025],"study_design_scores_gemma":[0.00007622939,0.0001949744,0.0004796427,0.0009784212,0.00006096712,0.0001674848,0.0009441173,0.2088378,0.0008655844,0.7634363,0.02381435,0.0001441744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002705822,0.007809008,0.9816046,0.001434926,0.0001930454,0.0006289941,0.00007838858,0.0001375024,0.005407754],"genre_scores_gemma":[0.06886381,0.007888276,0.9206969,0.0002879715,0.0003263282,0.00104264,0.0001181623,0.00004005139,0.0007358229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02706475,"threshold_uncertainty_score":0.1431338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020090570142923,"score_gpt":0.2574008582991735,"score_spread":0.2371999525977442,"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."}}