{"id":"W1986964874","doi":"10.1016/j.mineng.2007.09.011","title":"Characterization of heavy minerals in the Athabasca oil sands","year":2007,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Ilmenite; Rutile; Zircon; Oil sands; Titanium; Anatase; Metallurgy; Beneficiation; Mineralogy; Brookite; Geology; Materials science; Chemistry; Geochemistry; Asphalt","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":[],"consensus_categories":[],"category_scores_codex":[0.0003494177,0.0001246522,0.0001938489,0.0001257298,0.00002170136,0.00002417669,0.0001737383,0.00006713856,0.00004657145],"category_scores_gemma":[0.00006718578,0.00009848842,0.00006476916,0.0003963794,0.00001151528,0.00008510362,0.00001533403,0.0001237627,0.000001925374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002101948,"about_ca_system_score_gemma":0.000009999873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007058091,"about_ca_topic_score_gemma":0.00002100165,"domain_scores_codex":[0.9991463,0.000005318899,0.0003123196,0.0001368694,0.0001727566,0.0002263775],"domain_scores_gemma":[0.9996179,0.00005484234,0.00007376524,0.0001873532,0.00003413364,0.00003203134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006861717,0.00003204737,0.00138412,0.0001374527,0.00001303355,0.000007724198,0.0002876802,0.000542689,0.9949282,0.00003089018,0.00002206271,0.002607267],"study_design_scores_gemma":[0.0004674252,0.00001092054,0.003132825,0.0003020039,0.00003768292,0.00001634225,0.00009378535,0.01278468,0.9584774,0.000001763642,0.02439559,0.0002795842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989934,0.00018077,0.0008587604,0.0001156388,0.00002819436,0.000002873523,0.000009250014,0.0000405413,0.008829964],"genre_scores_gemma":[0.9919994,0.00003255877,0.0002428609,0.00004020953,0.0001852727,0.000006419771,0.00007404735,0.0000157885,0.007403383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03645077,"threshold_uncertainty_score":0.4016241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00840952254382383,"score_gpt":0.2186508000849366,"score_spread":0.2102412775411127,"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."}}