{"id":"W3118265317","doi":"10.1002/cjce.24028","title":"Calibration of solids concentration optical fibre probes with solids‐polymer blocks","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Calibration; Materials science; Polymer; Calibration curve; Extrusion; Plastics extrusion; Suspended solids; Polypropylene; Composite material; Analytical Chemistry (journal); Optics; Chemistry; Chromatography; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00133079,0.0008793988,0.0002936863,0.0005858118,0.0002792533,0.0003758778,0.000801729,0.001045888,0.0007493022],"category_scores_gemma":[0.002655294,0.0004841404,0.0003564867,0.0005979466,0.0006434056,0.0006005524,0.000642994,0.0005396262,0.000335618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006442773,"about_ca_system_score_gemma":0.0002493476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006768471,"about_ca_topic_score_gemma":0.0009858726,"domain_scores_codex":[0.9977261,0.0005166721,0.000119223,0.0006343278,0.0008902099,0.0001134572],"domain_scores_gemma":[0.9981233,0.0006584278,0.0005234362,0.0002666021,0.0003850657,0.00004315245],"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":[0.0000582481,0.00001707183,0.001007996,0.00004353953,0.00001129487,0.00001501217,0.00006468664,0.0004150454,0.9950192,0.00009301844,0.00002170097,0.003233233],"study_design_scores_gemma":[0.000004774315,0.0001554068,0.002044998,0.000005085305,0.00001454183,0.00004194061,0.00002593816,0.00354465,0.9935948,0.00003015984,0.0005270733,0.00001063979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8961516,0.0008918897,0.1007932,0.0000886272,0.00009544414,0.0001337413,0.0001405602,0.0004862378,0.001218701],"genre_scores_gemma":[0.9363178,0.000411412,0.06159905,0.0000620424,0.00002057503,0.0001234194,0.00008850297,0.0000472926,0.001329981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00133079,"threshold_uncertainty_score":0.007037997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004174976078171628,"score_gpt":0.1638842411147464,"score_spread":0.1597092650365748,"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."}}