{"id":"W2328864223","doi":"10.1021/ie301241h","title":"Combined Application of in Situ FBRM, ATR-FTIR, and Raman on Polymorphism Transformation Monitoring During the Cooling Crystallization","year":2012,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Program for Changjiang Scholars and Innovative Research Team in University; National Natural Science Foundation of China","keywords":"Crystallization; Raman spectroscopy; In situ; Polymorphism (computer science); Fourier transform infrared spectroscopy; Metastability; Chemistry; Attenuated total reflection; Kinetics; Transformation (genetics); Analytical Chemistry (journal); Materials science; Chromatography; Chemical engineering; Organic chemistry; Optics; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005520907,0.0005669103,0.0004975866,0.0004010197,0.0001764079,0.0003174413,0.000470183,0.0004566416,0.0006903437],"category_scores_gemma":[0.0006294622,0.0002889974,0.0002726637,0.0002421388,0.0004888689,0.0004777785,0.000300248,0.000684187,0.0001880133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002667381,"about_ca_system_score_gemma":0.0002134439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004059,"about_ca_topic_score_gemma":0.001555886,"domain_scores_codex":[0.9995815,0.00008536819,0.00001738142,0.0001144197,0.0001529347,0.00004842269],"domain_scores_gemma":[0.9995484,0.000207398,0.00008770375,0.00005930311,0.00007962521,0.00001756062],"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":[0.00002425992,0.000007300157,0.0001052094,0.00002086087,0.000002540637,0.00001701693,0.00001776292,0.00007267547,0.9977207,0.00003447431,0.00001076211,0.001966553],"study_design_scores_gemma":[0.000001750377,0.00004525825,0.0006254991,0.000001567571,0.000006317617,0.00006096323,0.00001306394,0.001332498,0.9976573,0.00001229554,0.0002391665,0.00000427756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9166303,0.001537416,0.07873283,0.0001384963,0.00006524916,0.00008033909,0.0002039848,0.0003668391,0.002244573],"genre_scores_gemma":[0.9254249,0.001004813,0.07098327,0.00004847692,0.00003725688,0.00006864879,0.0001161866,0.00006459939,0.002251898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001004059,"threshold_uncertainty_score":0.002919734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0577350440601335,"score_gpt":0.3161909510512586,"score_spread":0.2584559069911251,"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."}}