{"id":"W3109450271","doi":"10.3390/pharmaceutics12121144","title":"Drug-Nutraceutical Co-Crystal and Salts for Making New and Improved Bi-Functional Analgesics","year":2020,"lang":"en","type":"article","venue":"Pharmaceutics","topic":"Biochemical Acid Research Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Louise and Alan Edwards Foundation","keywords":"Nutraceutical; Analgesic; Chronic pain; Pharmacology; Drug; Medicine; Chemistry; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002493086,0.0002629498,0.0003471114,0.0003582308,0.0001523814,0.0003844475,0.0002481619,0.0002969432,0.001072679],"category_scores_gemma":[0.0002034285,0.0001902237,0.0002934237,0.0003042963,0.0002065536,0.0004422511,0.0004423856,0.0005043028,0.000532125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779461,"about_ca_system_score_gemma":0.0002782808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002061296,"about_ca_topic_score_gemma":0.0007898908,"domain_scores_codex":[0.9997959,0.0000302704,0.0000224533,0.00003263329,0.00009776866,0.00002109976],"domain_scores_gemma":[0.9999026,0.0000115553,0.00002972179,0.00001170579,0.00002403797,0.00002037385],"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":[0.00007069436,0.00007791843,0.0001587741,0.0002404247,0.00001763157,0.00006097804,0.00001929777,0.0003619045,0.9877875,0.001167981,0.0001340116,0.009902883],"study_design_scores_gemma":[0.00002336757,0.0005554681,0.0005308471,0.00001759547,0.00003380877,0.0001531818,0.00002141802,0.001327891,0.9834456,0.0001924032,0.01368949,0.000009133502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9041805,0.016172,0.06609882,0.0005548281,0.0003329232,0.0005051158,0.0005967167,0.0004551699,0.01110388],"genre_scores_gemma":[0.9289959,0.00799538,0.05639894,0.0001795765,0.00008004412,0.0001874619,0.0004133432,0.00007777937,0.005671577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001072679,"threshold_uncertainty_score":0.003588438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07228832762479753,"score_gpt":0.3742381120920829,"score_spread":0.3019497844672854,"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."}}