{"id":"W3045303558","doi":"10.1021/acs.cgd.0c00571","title":"Supercritical Carbon Dioxide for Pharmaceutical Co-Crystal Production","year":2020,"lang":"en","type":"article","venue":"Crystal Growth & Design","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Killam Trusts; Canada Foundation for Innovation","keywords":"Micronization; Crystallization; Solubility; Supercritical fluid; Chemical engineering; Materials science; Solvent; Biopharmaceutics Classification System; Supercritical carbon dioxide; Yield (engineering); Dissolution; Chemistry; Organic chemistry; Metallurgy; Particle size","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001648209,0.0002473289,0.0002586752,0.00004867707,0.00005854935,0.000036557,0.000166843,0.0001177487,0.00002510496],"category_scores_gemma":[0.0001993276,0.0002643724,0.0001109267,0.0001688023,0.00009286514,0.0001974631,0.00002277325,0.0002325266,0.00001122363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008174047,"about_ca_system_score_gemma":0.00003759354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001561327,"about_ca_topic_score_gemma":3.392312e-7,"domain_scores_codex":[0.998665,0.00005801879,0.0002644229,0.0003384222,0.0001987095,0.0004753968],"domain_scores_gemma":[0.9993523,0.0001255027,0.000007090979,0.0001425758,0.00005716489,0.0003153139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002225945,0.00004234487,0.00005507098,0.0002514838,0.00006560227,0.0000236612,0.0002571981,0.0009315439,0.9948891,0.00220305,0.0007961481,0.0002622353],"study_design_scores_gemma":[0.001218118,0.0002716219,0.00005547911,0.0000301968,0.0001226379,0.00005622716,0.00006274952,0.5168189,0.4750773,0.002638646,0.003075418,0.0005726993],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.459563,0.0002646463,0.5339351,0.0007960297,0.0006212014,0.000969034,0.00006254562,0.0009714303,0.002816925],"genre_scores_gemma":[0.9966616,0.00001933916,0.002154863,0.000142153,0.0007948377,0.00008202374,0.00003343389,0.0000953146,0.0000164415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5370985,"threshold_uncertainty_score":0.9999809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03969526164540415,"score_gpt":0.2676826629852862,"score_spread":0.227987401339882,"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."}}