{"id":"W2189169209","doi":"10.82308/17633","title":"Reliability analysis of lunar rover wheel designs - methodology and visual inspection technique","year":2012,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency","keywords":"Reliability (semiconductor); Computer science; Reliability engineering; Visual inspection; Engineering; Engineering drawing; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004157594,0.001018867,0.0008952176,0.002960362,0.0004321459,0.001135546,0.0009599266,0.0006441796,0.002409829],"category_scores_gemma":[0.01702904,0.0006580336,0.001463327,0.001247537,0.0005450337,0.0007374296,0.0006617088,0.000794373,0.0006553568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006893934,"about_ca_system_score_gemma":0.001154514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003917607,"about_ca_topic_score_gemma":0.003809758,"domain_scores_codex":[0.9955027,0.001557835,0.0002935497,0.0006538706,0.001820922,0.0001710906],"domain_scores_gemma":[0.9832512,0.009485525,0.001830413,0.001352853,0.003958377,0.0001216593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000306269,0.0001996619,0.03688585,0.001292907,0.0002954348,0.0002146542,0.001381747,0.1822335,0.03665622,0.009355824,0.001610938,0.7295669],"study_design_scores_gemma":[0.00007115798,0.001147404,0.0400194,0.0003798288,0.0001662241,0.0007011517,0.0006945239,0.8938295,0.0435566,0.008756058,0.0105266,0.0001514305],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02955496,0.0003427953,0.9677318,0.00004170072,0.00001978967,0.0001518361,0.0001164805,0.0008251816,0.001215367],"genre_scores_gemma":[0.4508246,0.000437605,0.5450212,0.00002922442,0.00002410627,0.0006028066,0.0004379081,0.0002167064,0.002405706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004157594,"threshold_uncertainty_score":0.02198768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03208734283985232,"score_gpt":0.2658045085765625,"score_spread":0.2337171657367101,"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."}}