{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001652519,0.001624098,0.001019541,0.01106359,0.001304574,0.002340141,0.002391598,0.0008426681,0.02623777],"category_scores_gemma":[0.002379239,0.0005174911,0.0005452553,0.02440648,0.0004930198,0.00141982,0.0009108173,0.0008264604,0.007686592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01703948,"about_ca_system_score_gemma":0.08582689,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9011214,"about_ca_topic_score_gemma":0.9500468,"domain_scores_codex":[0.9987198,0.00002886625,0.00007161152,0.00006259228,0.0009969653,0.0001201934],"domain_scores_gemma":[0.9968124,0.00007633311,0.0001585623,0.00003884151,0.002727924,0.0001859321],"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":[0.00005675411,0.00002992814,0.0006471662,0.002719829,0.00001935711,0.00005195786,0.0000314602,0.0002521079,0.0003138125,0.001446476,0.838746,0.1556851],"study_design_scores_gemma":[0.000004597271,0.000006279297,0.002124735,0.0003253003,0.0000219,0.00003404922,0.00004581818,0.00003884224,0.0001664823,0.0001411714,0.9970812,0.000009570284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003920516,0.613694,0.002011965,0.01509037,0.01096009,0.0006079946,0.1346737,0.0008745575,0.2181669],"genre_scores_gemma":[0.01024935,0.6543208,0.006640938,0.002155492,0.0007688962,0.0002197113,0.06386187,0.0001606429,0.2616222],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.09887856,"threshold_uncertainty_score":0.1989217,"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."}}