{"id":"W2593872796","doi":"10.1242/dev.144915","title":"Creating to understand – developmental biology meets engineering in Paris","year":2017,"lang":"en","type":"article","venue":"Development","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; European Research Council; Institute of Science and Technology Austria","keywords":"Biology; Enthusiasm; Synthetic biology; Developmental biology; Engineering ethics; Intersection (aeronautics); Evolutionary developmental biology; Data science; Computational biology; Evolutionary biology; Engineering; Computer science; Genetics","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":[0.005015462,0.00210605,0.0005829975,0.001320335,0.004019871,0.009725315,0.001248725,0.00666464,0.02829775],"category_scores_gemma":[0.003322573,0.0005542812,0.0008579783,0.0008438372,0.008333591,0.007748154,0.005445139,0.007429761,0.007275492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01220437,"about_ca_system_score_gemma":0.005765451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005081618,"about_ca_topic_score_gemma":0.004784742,"domain_scores_codex":[0.9952135,0.00222262,0.0001647383,0.0005971274,0.001092386,0.0007095372],"domain_scores_gemma":[0.9986505,0.0006225021,0.00009005832,0.0001468897,0.0001720714,0.0003181161],"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":[0.00008365259,0.00005748701,0.000268069,0.0002733209,0.00002103027,0.0007843186,0.004495619,0.002664469,0.002979689,0.6675738,0.2120801,0.1087185],"study_design_scores_gemma":[0.000005287213,0.00002242528,0.0001322159,0.00009836158,0.00000281325,0.0001988429,0.0007017391,0.0001891735,0.0008802384,0.02321574,0.9745365,0.00001666189],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.010422,0.1056963,0.04595846,0.3033309,0.02837754,0.0001478232,0.0002622612,0.001748893,0.5040559],"genre_scores_gemma":[0.218275,0.06392957,0.0409798,0.05407234,0.008841622,0.0002676355,0.0004407111,0.001318876,0.6118745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02829775,"threshold_uncertainty_score":0.09466541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03473429825268788,"score_gpt":0.2954288447848763,"score_spread":0.2606945465321884,"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."}}