{"id":"W3205913320","doi":"10.3390/machines9100244","title":"A Systematic Review of Product Design for Space Instrument Innovation, Reliability, and Manufacturing","year":2021,"lang":"en","type":"review","venue":"Machines","topic":"Technology Assessment and Management","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Innovation and Technology Commission - Hong Kong; Hong Kong Polytechnic University","keywords":"Space (punctuation); Product (mathematics); Resource (disambiguation); Product design; New product development; Reliability (semiconductor); Key (lock); Systems engineering; Computer science; Service (business); Design review (U.S. government); Product engineering; Risk analysis (engineering); Manufacturing engineering; Engineering; Business; Operations management; Product testing; Marketing; Mathematics; 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":[0.0006978249,0.0002807478,0.00170057,0.0002123471,0.00002605698,0.0000171996,0.0001724672,0.00008495611,0.000007036902],"category_scores_gemma":[0.0002218304,0.0002126629,0.0001177858,0.000272347,0.00002034065,0.00004606321,0.000106735,0.0001309473,0.000001062913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005903795,"about_ca_system_score_gemma":0.00002468804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001483062,"about_ca_topic_score_gemma":4.917537e-7,"domain_scores_codex":[0.998653,0.00006267373,0.0008041926,0.0002486096,0.0001021331,0.0001294172],"domain_scores_gemma":[0.9991031,0.0001112317,0.0002511895,0.000468359,0.00005421305,0.00001185764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[1.546455e-7,0.000008744931,2.598292e-7,0.906296,0.0002096196,6.930283e-7,0.000005840158,0.00001218337,1.967482e-7,0.001047701,0.0008590131,0.09155964],"study_design_scores_gemma":[0.0000629018,0.00001782625,4.23988e-7,0.7205001,0.001461609,0.000009906177,0.00000295507,0.00009652861,0.00003942985,0.0002031773,0.2773843,0.0002208624],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002790507,0.9863281,0.008859652,0.0001440994,0.0001881783,0.004251264,0.00001134096,0.0001551346,0.00005939738],"genre_scores_gemma":[0.000009585683,0.9914746,0.007048021,0.00001533393,0.00002286246,0.001194506,0.00006152561,0.00003803687,0.0001355579],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2765253,"threshold_uncertainty_score":0.8672141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02968811217360019,"score_gpt":0.2993987948718421,"score_spread":0.2697106826982419,"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."}}