{"id":"W2605316130","doi":"10.1007/s11095-017-2156-9","title":"Insights and Lessons from a Scientific Conference on Non-Invasive Delivery of Macromolecules","year":2017,"lang":"en","type":"article","venue":"Pharmaceutical Research","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pipeline (software); Medicine; Pharmacology; Macromolecule; Engineering ethics; Chemistry; Computer science; Engineering; 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":[0.04986175,0.001380481,0.0015243,0.00185573,0.006069854,0.02063257,0.002442864,0.01884945,0.007759718],"category_scores_gemma":[0.03087186,0.0004909709,0.001170527,0.001543419,0.01366714,0.01543253,0.01107272,0.03016134,0.002367751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008131282,"about_ca_system_score_gemma":0.01172894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002126149,"about_ca_topic_score_gemma":0.003100286,"domain_scores_codex":[0.9845285,0.005551684,0.0008682464,0.001522483,0.00517333,0.002355751],"domain_scores_gemma":[0.9557856,0.02366301,0.001699087,0.001853661,0.009884679,0.007114111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008611355,0.0006217656,0.0009537972,0.002028228,0.0001722398,0.001312933,0.007819159,0.001510649,0.007660159,0.4170925,0.3209818,0.2389856],"study_design_scores_gemma":[0.0000747337,0.0002852252,0.0007348737,0.001139152,0.00004396431,0.0003116905,0.004103764,0.0003792942,0.003478285,0.130566,0.8587397,0.0001432608],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006296593,0.1118925,0.006183651,0.8190078,0.0351127,0.00003376429,0.00008180108,0.00007709944,0.0213141],"genre_scores_gemma":[0.2628737,0.1595871,0.01260438,0.4394394,0.06779151,0.0002458046,0.0001903229,0.0004252326,0.05684262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04986175,"threshold_uncertainty_score":0.2636973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5042868738303539,"score_gpt":0.5638847421154908,"score_spread":0.05959786828513691,"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."}}