{"id":"W1970097330","doi":"10.1007/s00231-014-1329-x","title":"Diffusion properties of aqueous slurries in evaporative spray drying of copper (II) chloride dihydrate","year":2014,"lang":"en","type":"article","venue":"Heat and Mass Transfer","topic":"Microencapsulation and Drying Processes","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; Atomic Energy (Canada)","funders":"Atomic Energy of Canada Limited; University of Ontario Institute of Technology","keywords":"Aqueous solution; Mass transfer; Copper; Slurry; Materials science; Diffusion; Chloride; Copper chloride; Copper(II) chloride; Heat transfer; Chemical engineering; Thermodynamics; Chemistry; Metallurgy; Chromatography; Composite material; Organic chemistry","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":[0.0001171265,0.00008699259,0.0001830306,0.00001558981,0.00008078027,0.00001146136,0.00005238324,0.00005032193,0.00005410621],"category_scores_gemma":[0.00001814518,0.0000323684,0.00002999347,0.000121103,0.00009075195,0.00009302997,0.00001208712,0.00004928559,7.389654e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003447948,"about_ca_system_score_gemma":0.0000052683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001829173,"about_ca_topic_score_gemma":0.0004313066,"domain_scores_codex":[0.9994229,0.00003621396,0.0002000057,0.0001340197,0.00009471252,0.0001121199],"domain_scores_gemma":[0.9998424,0.00003470972,0.00001459724,0.0000246518,0.00005177522,0.00003187605],"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":[0.00008896694,0.00003763334,0.006583037,0.00006756196,0.000002753541,2.068444e-7,0.001046471,0.000007974264,0.9889337,0.0003099669,0.000005082287,0.002916632],"study_design_scores_gemma":[0.0002626542,0.0002166572,0.01140525,0.0001449813,0.0000073918,8.718671e-7,0.0003806971,0.0001487525,0.98514,0.0002883424,0.001900754,0.0001036013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983729,0.0004059273,0.00002405264,0.0004564959,0.00003144651,0.0001180694,0.000005867671,0.00001305733,0.0005722162],"genre_scores_gemma":[0.999581,0.000181204,0.00001388939,0.00006284704,0.00002235172,0.000006289495,0.00000567684,7.779234e-7,0.0001259597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004822216,"threshold_uncertainty_score":0.1319945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774287982980006,"score_gpt":0.1986143969704402,"score_spread":0.1808715171406401,"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."}}