{"id":"W2146148803","doi":"10.1016/j.minpro.2007.06.004","title":"On the drying rates of individual iron oxide pellets","year":2007,"lang":"en","type":"article","venue":"International Journal of Mineral Processing","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pellets; Pellet; Evaporation; Pelletizing; Diffusion; Boiling; Mass transfer; Materials science; Heat transfer; Leidenfrost effect; Shell (structure); Economies of agglomeration; Front (military); Chemistry; Metallurgy; Chemical engineering; Composite material; Thermodynamics; Heat transfer coefficient; Chromatography; Meteorology","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":[0.0005888591,0.0002390711,0.0002899521,0.0003318802,0.0001999896,0.0003502188,0.000297333,0.0001982498,0.002565525],"category_scores_gemma":[0.001517808,0.0002210258,0.0002407532,0.0002500256,0.0001915407,0.0005587752,0.0001770753,0.0004387517,0.0005138044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000252729,"about_ca_system_score_gemma":0.0001157796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294799,"about_ca_topic_score_gemma":0.001757892,"domain_scores_codex":[0.9997627,0.00002453395,0.00001781918,0.00005340331,0.00009135232,0.00005002206],"domain_scores_gemma":[0.9986356,0.0008354426,0.0001351775,0.00009650109,0.0002446093,0.00005253683],"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":[0.001266849,0.00007001282,0.002080058,0.0001042278,0.0000174159,0.00006283035,0.00009154622,0.001534179,0.973507,0.0002534184,0.0001846528,0.02082777],"study_design_scores_gemma":[0.000008008301,0.0002218565,0.006972377,0.000005409745,0.00001680783,0.00003893816,0.00003392813,0.003323362,0.9886355,0.00002750184,0.0007079623,0.000008283736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959261,0.0006599449,0.00185606,0.00002332872,0.00002200758,0.00001097593,0.0001195478,0.00002785295,0.001354299],"genre_scores_gemma":[0.9952294,0.0006457471,0.00178958,0.00001712022,0.00001099691,0.000007056595,0.0002482474,0.00006483087,0.001987116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002565525,"threshold_uncertainty_score":0.008582592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208381966168355,"score_gpt":0.2866409818967021,"score_spread":0.2645571622350186,"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."}}