{"id":"W2509917148","doi":"10.1002/cjce.22446","title":"Drop forming as a basis for scaling up of the in situ coating process","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Tableting; Process engineering; Drop (telecommunication); Coating; Materials science; Crystallization; Reproducibility; Process (computing); Manufacturing engineering; Computer science; Mechanical engineering; Engineering; Composite material; Mathematics; Chemical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000456025,0.00005635097,0.0001300127,0.00004304616,0.00005828023,0.00001858022,0.000224912,0.00002722911,0.00001999142],"category_scores_gemma":[0.001580026,0.00002897148,0.00005499112,0.0001098677,0.00005804469,0.00007601487,0.00001438677,0.00006323423,3.15476e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256132,"about_ca_system_score_gemma":0.0002125399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001982231,"about_ca_topic_score_gemma":0.0005447358,"domain_scores_codex":[0.9993863,0.000008515371,0.0002696454,0.00005165839,0.0001133015,0.0001706068],"domain_scores_gemma":[0.9994133,0.0002096001,0.0001057358,0.00007420333,0.0001175469,0.00007962886],"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":[0.000006899185,0.000001829234,0.0002395033,0.00004381541,0.000004356861,5.905996e-7,0.001644543,0.00134306,0.9961861,0.0002782767,0.00001394338,0.0002371092],"study_design_scores_gemma":[0.0002705647,0.000008082276,0.0001318924,0.0004341001,0.000009436306,0.00001669579,0.0002321311,0.001168442,0.9970819,0.0004335691,0.0001525502,0.00006059511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99698,0.00005857454,0.001733049,0.0009532721,0.0001522736,0.00007593796,0.000004060693,0.000003060987,0.00003983398],"genre_scores_gemma":[0.9997165,6.536449e-7,0.0001692455,0.00003567336,0.00005069726,0.000003104597,5.37559e-8,0.0000069154,0.0000171603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002736559,"threshold_uncertainty_score":0.1891553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423551358878843,"score_gpt":0.2350759565776136,"score_spread":0.2208404429888252,"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."}}