{"id":"W2413258982","doi":"10.1109/icit.2016.7474913","title":"Progress towards 3D-printed mechatronic systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"3D printing; Mechatronics; Scope (computer science); 3d printed; Computer science; Electronics; Printed electronics; Manufacturing engineering; Mechanical engineering; Engineering; Electrical engineering; Artificial intelligence","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":[0.002245893,0.0007740912,0.0007387235,0.001286201,0.0004960567,0.003763136,0.001759911,0.002241738,0.01012582],"category_scores_gemma":[0.00259089,0.0005823217,0.0009445758,0.001031994,0.00203686,0.004823377,0.002949605,0.003086681,0.005768196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233904,"about_ca_system_score_gemma":0.000901997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005807384,"about_ca_topic_score_gemma":0.000309172,"domain_scores_codex":[0.9979778,0.0003349174,0.0001068843,0.000273856,0.001209672,0.00009699537],"domain_scores_gemma":[0.9984041,0.0005691352,0.00007433375,0.0004142202,0.0004466235,0.00009147795],"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":[0.00004836197,0.00008660457,0.0002811125,0.001334513,0.00004051486,0.0001569268,0.0005553189,0.01498882,0.03239538,0.6523039,0.009348366,0.2884601],"study_design_scores_gemma":[0.0000269767,0.0001914045,0.000557425,0.0005845738,0.00003439777,0.0006844934,0.0001859485,0.04967522,0.04334079,0.1548217,0.7497882,0.0001089964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01904482,0.05489618,0.7924339,0.007187919,0.001994852,0.0001089502,0.0003127998,0.002138234,0.1218823],"genre_scores_gemma":[0.1859622,0.0842493,0.6839585,0.002301549,0.001572375,0.0002256201,0.0008644428,0.0004939215,0.04037207],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01012582,"threshold_uncertainty_score":0.03387421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255325636576649,"score_gpt":0.2159425206270376,"score_spread":0.2033892642612711,"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."}}