{"id":"W6981045680","doi":"","title":"Developing simple regressions for predicting gold gravity recovery in grinding circuit","year":2002,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Architecture and Computational Design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grinding; Simple (philosophy); Task (project management); Control theory (sociology); Gold ore","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000561731,0.0006974401,0.0006863688,0.0007115141,0.0006586378,0.00007870094,0.0004987536,0.0006913078,0.00004225976],"category_scores_gemma":[0.0005487162,0.0008037469,0.0003112605,0.0006771063,0.00001655,0.0004646654,0.00006157534,0.001407366,0.00004544337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041533,"about_ca_system_score_gemma":0.00004902599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006810612,"about_ca_topic_score_gemma":0.001085576,"domain_scores_codex":[0.9968151,0.0001301008,0.0009531519,0.0007858395,0.0005003795,0.000815458],"domain_scores_gemma":[0.9982519,0.0007492587,0.0002719991,0.0003740516,0.0001633893,0.0001893758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002054121,0.0001412655,0.0006190545,0.003058885,0.0007203612,0.0001418691,0.0001165335,0.08317654,0.01741535,0.07001993,0.00008418543,0.8243006],"study_design_scores_gemma":[0.003766081,0.0003613393,0.02719281,0.008044456,0.0005316028,0.0001269753,0.0007596852,0.01487727,0.05443605,0.8394481,0.04400346,0.006452166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633566,0.0005011311,0.0001957987,0.000007364434,0.001785832,0.001280958,0.0009239545,0.0007248427,0.03122354],"genre_scores_gemma":[0.9922564,0.0001629614,0.003941541,0.00007576252,0.0001278229,0.0004303713,0.001625775,0.00028911,0.001090274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8178484,"threshold_uncertainty_score":0.9994413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908290689642367,"score_gpt":0.2449162574997913,"score_spread":0.2158333506033676,"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."}}