{"id":"W7115034188","doi":"","title":"Capacity Planning Optimization Integrating Cut-Off Grade and Block Sequencing Under Economies of Scale, Cost Structures, and Grade Distribution Considerations","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Capacity planning; Block (permutation group theory); Distribution (mathematics); Economies of scale; Sequence (biology)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002559676,0.0007778243,0.00117942,0.0008908751,0.002030641,0.0007436061,0.0004803682,0.0008630134,0.00006561697],"category_scores_gemma":[0.008867542,0.0007471925,0.0002281007,0.0008752776,0.000334662,0.001190415,0.0002012123,0.001581794,0.000003076618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006294773,"about_ca_system_score_gemma":0.0002692866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004992834,"about_ca_topic_score_gemma":0.002196263,"domain_scores_codex":[0.9940928,0.0006832921,0.002097065,0.001505687,0.001035965,0.000585203],"domain_scores_gemma":[0.9930857,0.003425496,0.001654657,0.0006753176,0.0008675306,0.000291298],"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":[0.0004524636,0.0001959804,0.003417335,0.001083511,0.0009695725,0.00006462779,0.00113378,0.3366562,0.05373047,0.5054717,0.0000512305,0.09677309],"study_design_scores_gemma":[0.004973253,0.0004393423,0.0148877,0.005050117,0.001486227,0.000803414,0.04638664,0.087141,0.2732121,0.5570478,0.003486313,0.005086126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897379,0.0005229289,0.0001637504,0.00006028398,0.0006163318,0.001041514,0.002831867,0.0001213558,0.004904112],"genre_scores_gemma":[0.987295,0.00013338,0.01084565,0.0001070289,0.00003839326,0.0000643728,0.001144994,0.00005980795,0.0003113159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2495152,"threshold_uncertainty_score":0.9994979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08109999520239963,"score_gpt":0.3243761806181061,"score_spread":0.2432761854157064,"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."}}