{"id":"W4236376167","doi":"10.4095/301213","title":"Base-metal Mines, 2003","year":2010,"lang":"en","type":"report","venue":"","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Base metal; Base (topology); Mining engineering; Environmental science; Geology; Metallurgy; Materials science; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003268137,0.0002473861,0.0002882547,0.000124043,0.00002960787,0.00004020311,0.0001143698,0.0004719766,0.005773912],"category_scores_gemma":[0.0001675747,0.0001962445,0.0001182772,0.0001435511,0.00001249117,0.00006549629,0.00001720084,0.000784964,0.0004534085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005593585,"about_ca_system_score_gemma":0.0001328898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000200207,"about_ca_topic_score_gemma":0.0002887287,"domain_scores_codex":[0.9989519,0.000009676306,0.0002839922,0.0001839151,0.0003736698,0.0001968212],"domain_scores_gemma":[0.9994116,0.00001552298,0.00004506054,0.0002772576,0.0001498128,0.0001007812],"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":[0.000001026912,0.00002028954,0.00002084366,0.0002207344,0.0001433337,0.0000293476,0.000004838765,0.00003826998,0.0228195,0.00006646269,0.8611413,0.115494],"study_design_scores_gemma":[0.0000444989,0.000004386637,0.00005890869,0.00001670769,0.00003886023,0.0001101092,0.000004515312,0.001194497,0.001983115,0.000003292267,0.9962739,0.0002671569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000640781,0.00116917,0.001175698,0.00001620082,0.0109164,0.0001215944,0.00001864139,0.0005892693,0.9853522],"genre_scores_gemma":[0.01702108,0.003491221,0.01027459,0.0001542518,0.005345637,0.0000376138,0.0006784183,0.0002559186,0.9627413],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1351326,"threshold_uncertainty_score":0.9951349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02927592504353502,"score_gpt":0.2604218684916655,"score_spread":0.2311459434481305,"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."}}