{"id":"W2546984397","doi":"10.1145/2957276.2957301","title":"Barriers to Using, Customizing, and Printing 3D Designs on Thingiverse","year":2016,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"3D printing; Workflow; Computer science; Metadata; Download; 3d printed; Human–computer interaction; World Wide Web; Key (lock); Multimedia; Engineering; Database; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002569106,0.0001031367,0.00008650571,0.0002788565,0.0001810306,0.00006285032,0.0003290615,0.00006323594,0.0001181119],"category_scores_gemma":[0.0002881737,0.00007124298,0.00001598868,0.0002265551,0.00005538089,0.0005017028,0.0002540307,0.0001020973,0.0001747478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115779,"about_ca_system_score_gemma":0.00003925947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001445003,"about_ca_topic_score_gemma":0.000005077717,"domain_scores_codex":[0.999173,0.00003483177,0.0001275556,0.0003381288,0.0001126635,0.0002138043],"domain_scores_gemma":[0.999392,0.00007050503,0.00006544781,0.0003031455,0.00009158421,0.00007727402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002381753,0.0000201906,0.004597159,0.000004947726,0.00003461898,0.00002639007,0.001939565,0.00004032008,0.2777972,0.6542963,0.002210483,0.05900903],"study_design_scores_gemma":[0.00208941,0.001103541,0.004056294,0.0004837434,0.00001968391,0.0001795974,0.0008883346,0.04500619,0.8858173,0.009945992,0.04904707,0.001362779],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3855976,8.128379e-7,0.6078303,0.0009421543,0.000208595,0.00009552946,1.937885e-7,0.0002145459,0.005110283],"genre_scores_gemma":[0.8795192,5.222607e-7,0.118415,0.001154611,0.0000232363,0.000004266689,2.664629e-8,0.000006633925,0.0008764936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6443503,"threshold_uncertainty_score":0.2905204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04134486820737902,"score_gpt":0.2938754255372921,"score_spread":0.2525305573299131,"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."}}