{"id":"W2905638594","doi":"10.1115/1.4042336","title":"Visual Similarity to Aid Alternative-Use Concept Generation for Retired Wind-Turbine Blades","year":2018,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Design Education and Practice","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reuse; Similarity (geometry); Turbine; Turbine blade; Scale (ratio); Computer science; Work (physics); Exploit; Engineering; Simulation; Human–computer interaction; Industrial engineering; Artificial intelligence; Mechanical engineering; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001356815,0.0008389702,0.0004391824,0.001817034,0.0003905581,0.00122419,0.001180387,0.000746158,0.008034598],"category_scores_gemma":[0.006650056,0.0004076936,0.001032046,0.0006315368,0.0005949757,0.002218348,0.001532767,0.0008479535,0.001079196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006037151,"about_ca_system_score_gemma":0.0007974625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001307558,"about_ca_topic_score_gemma":0.00212834,"domain_scores_codex":[0.9992705,0.0002066634,0.00003888452,0.0002103967,0.0002280648,0.00004553742],"domain_scores_gemma":[0.9971379,0.001776786,0.000187232,0.0004191494,0.0003753692,0.000103606],"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":[0.0005252983,0.0005584636,0.003913939,0.001127528,0.00009309409,0.0005691903,0.004360391,0.01774798,0.0676102,0.02990426,0.004965454,0.8686242],"study_design_scores_gemma":[0.0003660157,0.001565021,0.01417296,0.0003876913,0.0003203843,0.002704029,0.004176299,0.6408085,0.1598191,0.08346582,0.09193436,0.0002799184],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1489402,0.0003553907,0.8332049,0.0002334577,0.00008741342,0.0006191689,0.0003098148,0.003875174,0.01237458],"genre_scores_gemma":[0.3055167,0.000108926,0.6910038,0.00005930591,0.00001579678,0.0001712396,0.0003485785,0.0002155137,0.002560161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008034598,"threshold_uncertainty_score":0.02687836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047517261319256,"score_gpt":0.3428737362399466,"score_spread":0.238122010108021,"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."}}