{"id":"W2763380231","doi":"10.1016/j.acra.2017.08.003","title":"Logistics of Three-dimensional Printing","year":2017,"lang":"en","type":"review","venue":"Academic Radiology","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"3D printing; Task (project management); Service (business); Field (mathematics); 3d printer; 3d printed; Task force; Software; Computer science; Selection (genetic algorithm); Three dimensional printing; Engineering management; Engineering; Systems engineering; Business; Manufacturing engineering; Mechanical engineering; Artificial intelligence; Marketing","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":[0.00190652,0.001094897,0.001378934,0.004672003,0.0004661337,0.003687434,0.001590684,0.001695033,0.007316067],"category_scores_gemma":[0.004078136,0.0005236205,0.0008602967,0.006449878,0.001512976,0.003941417,0.001413434,0.001912913,0.002766268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427947,"about_ca_system_score_gemma":0.003198464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002266018,"about_ca_topic_score_gemma":0.003516914,"domain_scores_codex":[0.9989318,0.0002042406,0.0001906802,0.0001150408,0.0004803307,0.00007785796],"domain_scores_gemma":[0.9965386,0.002201761,0.000536145,0.00009549149,0.0005430385,0.00008501997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005162572,0.00003863455,0.0003400639,0.01824522,0.00005082979,0.0002153553,0.00007977073,0.0004021361,0.0002568762,0.008962581,0.02142681,0.9499301],"study_design_scores_gemma":[0.00001279698,0.0000509534,0.001037913,0.01134093,0.0001027188,0.002126336,0.0001928265,0.0001830273,0.0005101839,0.004271876,0.9801354,0.00003515988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001237358,0.9970692,0.0003038623,0.0004229999,0.0001891718,0.000003889402,0.00001748685,0.000007645795,0.00186198],"genre_scores_gemma":[0.0009718791,0.9977074,0.0003391701,0.0002135403,0.0002009756,0.000004975731,0.00002995266,0.000003541962,0.0005286008],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007316067,"threshold_uncertainty_score":0.02447462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196702449498993,"score_gpt":0.3640562051561913,"score_spread":0.2443859602062921,"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."}}