{"id":"W2900601944","doi":"10.4095/297907","title":"Canadian minerals yearbook, 2008: review and outlook","year":2009,"lang":"en","type":"report","venue":"","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Yearbook; Computer science; Library 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002969911,0.0001929904,0.0003751247,0.0001236872,0.00002592005,0.00003146106,0.00006307894,0.0001853916,0.001740864],"category_scores_gemma":[0.00004712711,0.0001601214,0.00006810109,0.00005428143,0.000005842416,0.00004121466,0.000005741799,0.0003276683,0.0001677918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002028053,"about_ca_system_score_gemma":0.0002277949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05906769,"about_ca_topic_score_gemma":0.1109999,"domain_scores_codex":[0.9992155,0.00001189679,0.0002523841,0.0001523199,0.0001664016,0.0002014876],"domain_scores_gemma":[0.9995028,0.000007898519,0.00003179403,0.0001705289,0.00004459395,0.0002423521],"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":[6.502416e-8,0.00000141514,0.000008078378,0.0009883265,0.00003396923,0.00001660995,0.000002138875,0.000003166048,0.00004812431,0.00001411054,0.9499483,0.04893575],"study_design_scores_gemma":[0.00002032535,0.000004438848,0.0001183436,0.0005511131,0.00008183697,0.00008697571,0.00000110803,0.00003329027,0.000008078639,0.000004786971,0.9988822,0.000207509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001132206,0.1455778,0.00001244056,0.0003644066,0.0003972282,0.0001739064,0.00001623426,0.0001189134,0.8533278],"genre_scores_gemma":[0.0009098188,0.3642501,0.0004655395,0.00222643,0.0005339474,0.000009642303,0.0001203115,0.00005545417,0.6314287],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.221899,"threshold_uncertainty_score":0.9991717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960575142907383,"score_gpt":0.2723734743419081,"score_spread":0.2427677229128342,"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."}}