{"id":"W6998871509","doi":"","title":"An automated decision support system for the identification of additive manufacturing redesign candidates","year":2019,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Identification (biology); Decision support system; Software; Product (mathematics); Resource (disambiguation); Selection (genetic algorithm); CAD; Set (abstract data type); Flexible manufacturing system","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":[0.003359552,0.001483779,0.001335693,0.003896518,0.001257018,0.003587821,0.001918209,0.001186943,0.01401132],"category_scores_gemma":[0.009021149,0.0005407613,0.0009148825,0.001633905,0.0004801776,0.001927872,0.001460105,0.0009966234,0.003291305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485711,"about_ca_system_score_gemma":0.002987839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006772012,"about_ca_topic_score_gemma":0.005647336,"domain_scores_codex":[0.998085,0.0003951502,0.0002554274,0.00046418,0.0006741617,0.0001260567],"domain_scores_gemma":[0.9943811,0.003422745,0.0004300589,0.0003044991,0.001195542,0.000265983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001417227,0.001015689,0.007576404,0.0007275051,0.0001670907,0.001395969,0.001064225,0.1238295,0.02120264,0.0150879,0.04166273,0.784853],"study_design_scores_gemma":[0.0002875425,0.0002532883,0.001864593,0.000127971,0.0001021726,0.0002506642,0.0003356401,0.9509588,0.01459719,0.00931021,0.0218186,0.00009329337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04998768,0.0002245529,0.8729422,0.0008866868,0.000110556,0.001751194,0.003605367,0.05911479,0.01137702],"genre_scores_gemma":[0.1839028,0.0001413984,0.8055516,0.0002548381,0.00005081621,0.0009195775,0.003784443,0.0003749617,0.005019612],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01401132,"threshold_uncertainty_score":0.04687256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225702295195923,"score_gpt":0.248970196113687,"score_spread":0.2367131731617278,"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."}}