{"id":"W4242642395","doi":"10.29007/wvlp","title":"Generating Reuse Possibilities for Retired Wind-Turbine Blades","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Design Education and Practice","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Connaught Fund; Technische Universität Braunschweig","keywords":"Turbine blade; Turbine; Perspective (graphical); Work (physics); Reuse; Wind power; Closure (psychology); Computer science; Engineering; Marine engineering; Environmental science; Mechanical engineering; Artificial intelligence","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":[0.001831997,0.0007174514,0.0004155736,0.001260407,0.0004982636,0.001261355,0.0007780022,0.0006368254,0.006250061],"category_scores_gemma":[0.008882208,0.0003825905,0.001115928,0.0006053841,0.0008115894,0.001734008,0.001655186,0.0006334686,0.0004921939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005606391,"about_ca_system_score_gemma":0.0006754259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003316623,"about_ca_topic_score_gemma":0.001057481,"domain_scores_codex":[0.9985055,0.0006721498,0.0000672111,0.0003103504,0.0003607575,0.00008399457],"domain_scores_gemma":[0.9914948,0.006602719,0.0005284268,0.0006859988,0.0005274857,0.0001605646],"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":[0.0009831771,0.0009674347,0.02595774,0.002207091,0.0001244334,0.002832616,0.05287183,0.02022727,0.102677,0.07134261,0.003005519,0.7168033],"study_design_scores_gemma":[0.0008656131,0.006748992,0.07476887,0.001188562,0.000754294,0.007141949,0.05927033,0.3146722,0.2044908,0.1726307,0.1569632,0.0005045175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6407883,0.0002510938,0.3415707,0.0001983713,0.00004059657,0.0006149622,0.0002395348,0.0006183584,0.01567807],"genre_scores_gemma":[0.6689073,0.0001592262,0.3274402,0.00004046879,0.000007546371,0.0003762479,0.0003678053,0.00007167504,0.002629352],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006250061,"threshold_uncertainty_score":0.02090853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03421218411543755,"score_gpt":0.2998494140840859,"score_spread":0.2656372299686484,"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."}}