{"id":"W2521820339","doi":"10.1016/j.cell.2016.09.013","title":"Portable, On-Demand Biomolecular Manufacturing","year":2016,"lang":"en","type":"article","venue":"Cell","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":371,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; University of Toronto","funders":"Hansjörg Wyss Institute for Biologically Inspired Engineering, Harvard University; Defense Threat Reduction Agency","keywords":"Synthetic biology; Biology; Computational biology; Biomolecule; Biochemical engineering; Biotechnology; Computer science; Nanotechnology; Biochemistry; Engineering; Materials science","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":[0.0006571255,0.001148102,0.000849875,0.001267674,0.0005116026,0.00114624,0.002830323,0.0008809696,0.04957215],"category_scores_gemma":[0.001083983,0.0007223602,0.0005838296,0.0009457114,0.0003860355,0.001016753,0.001703856,0.001127379,0.03693855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004090087,"about_ca_system_score_gemma":0.0005314717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007194504,"about_ca_topic_score_gemma":0.001307832,"domain_scores_codex":[0.9988925,0.000077365,0.00003845685,0.0001956057,0.0007118825,0.0000842277],"domain_scores_gemma":[0.9990095,0.0002420878,0.00008637035,0.000298512,0.00026615,0.00009742121],"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":[0.0004680641,0.0004214186,0.001362687,0.0004245221,0.00004434329,0.0002774442,0.0001201316,0.0005816148,0.7862014,0.002807364,0.03752311,0.1697679],"study_design_scores_gemma":[0.0002114013,0.0009082899,0.005669093,0.00008328188,0.00009487327,0.002081251,0.0001525617,0.01123103,0.7853826,0.002834171,0.1912698,0.00008166935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09356537,0.002371825,0.7673462,0.001261901,0.001347746,0.002172064,0.006816891,0.03201843,0.09309959],"genre_scores_gemma":[0.2813766,0.003125139,0.4950396,0.00236668,0.0008778594,0.002407254,0.01068565,0.003395145,0.2007262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04957215,"threshold_uncertainty_score":0.1658353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882201311528658,"score_gpt":0.2815987794126272,"score_spread":0.2627767662973406,"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."}}