{"id":"W2745791103","doi":"","title":"Crystal Engineering of Active Pharmaceutical Ingredients with Low Aqueous Solubility and Bioavailability","year":2017,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education, India; Mitacs","keywords":"Bioavailability; Solubility; Active ingredient; Aqueous solution; Chemistry; Pharmaceutical technology; Organic chemistry; Chromatography; Pharmacology; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001835473,0.0001785433,0.0001903338,0.0002109709,0.0001648259,0.0003818661,0.0002000878,0.0002516974,0.001092328],"category_scores_gemma":[0.000346888,0.0001669153,0.0002741427,0.0002008084,0.0001357223,0.0002617315,0.0002622256,0.0005161874,0.0003452585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002420474,"about_ca_system_score_gemma":0.0003485474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006250794,"about_ca_topic_score_gemma":0.001924113,"domain_scores_codex":[0.9998411,0.00002013882,0.00001396549,0.00002307699,0.00007003345,0.00003160637],"domain_scores_gemma":[0.9998502,0.00002907818,0.00004789022,0.00001607399,0.00004223666,0.00001461196],"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":[0.00004058879,0.0000609471,0.000212822,0.0001188167,0.000007790052,0.0000946342,0.00003154349,0.0009291345,0.9889975,0.001086877,0.0002900281,0.008129434],"study_design_scores_gemma":[0.00002301609,0.0003075037,0.0007269799,0.00001552525,0.00001808536,0.0001464063,0.00003077465,0.005234305,0.9815166,0.0002252962,0.01174912,0.000006369528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632312,0.002197661,0.02238319,0.000355882,0.00007863154,0.0001882615,0.0003613413,0.0002508052,0.01095307],"genre_scores_gemma":[0.9617535,0.002094835,0.02879015,0.0000785062,0.00001902824,0.0001344869,0.0004217618,0.00007667481,0.006630955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001092328,"threshold_uncertainty_score":0.003654182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07775677012267895,"score_gpt":0.3247843737905765,"score_spread":0.2470276036678976,"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."}}