{"id":"W2320230652","doi":"10.1021/ef300597p","title":"Characterization of Iron-Bearing Particles in Athabasca Oil Sands","year":2012,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Resources Canada","keywords":"Oil sands; Characterization (materials science); Bearing (navigation); Petroleum engineering; Environmental science; Geology; Mineralogy; Asphalt; Geochemistry; Metallurgy; Chemistry; Materials science; Composite material; Nanotechnology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006447436,0.0002086669,0.0001516151,0.00134839,0.0006806059,0.00037116,0.0001737566,0.0002314149,0.0007124685],"category_scores_gemma":[0.0001366797,0.000127178,0.0001297513,0.0003231434,0.0002041829,0.0001601827,0.0001666801,0.0001282518,0.0001471367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339706,"about_ca_system_score_gemma":0.00014761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01817855,"about_ca_topic_score_gemma":0.04363494,"domain_scores_codex":[0.9999312,0.000003475855,0.000004514008,0.00001567247,0.00002637397,0.00001876696],"domain_scores_gemma":[0.9998673,0.00001832359,0.00002809257,0.000006611652,0.00004833635,0.00003126182],"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":[0.0001293187,0.00002608798,0.02150189,0.00003638582,0.00001269005,0.000551849,0.0002397984,0.0001913154,0.9751108,0.00004333378,0.0000367125,0.002119899],"study_design_scores_gemma":[0.00001222685,0.0001257693,0.7387218,0.00001359213,0.00003004823,0.0008834437,0.001245025,0.001346209,0.2555062,0.00006016347,0.002037472,0.00001799475],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986083,0.00005707168,0.0003019812,0.00001009837,0.000001152709,0.000007705603,0.0001823057,0.00001166791,0.0008197348],"genre_scores_gemma":[0.9980549,0.00006367114,0.0006440829,0.00001135452,0.000001716163,0.000005410106,0.0003254552,0.000006777005,0.0008867186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01817855,"threshold_uncertainty_score":0.03614551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047240990786786,"score_gpt":0.2205400152249726,"score_spread":0.2100676053171048,"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."}}