{"id":"W4312364883","doi":"10.1007/978-3-031-21441-7_1","title":"Practical Limits to Transfer Learning of Neural Network Controllers from Earth to Space Environments","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Artificial neural network; Space (punctuation); Computer science; Earth (classical element); Transfer of learning; Transfer (computing); Artificial intelligence; Physics; Astronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004902946,0.001056519,0.001047358,0.0005264914,0.0007453674,0.003582894,0.002290138,0.003291912,0.009270732],"category_scores_gemma":[0.04378763,0.0007414802,0.0004676107,0.0006653621,0.003646687,0.008407594,0.004655735,0.00660379,0.001278522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497709,"about_ca_system_score_gemma":0.001164474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001961771,"about_ca_topic_score_gemma":0.001083565,"domain_scores_codex":[0.9974899,0.0007294239,0.0001411187,0.0004047479,0.001010005,0.0002247841],"domain_scores_gemma":[0.966036,0.02977326,0.0004619689,0.001880146,0.001610715,0.0002378485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004604031,0.000112755,0.0006931988,0.001018136,0.00007568106,0.0002770828,0.0004135047,0.3894643,0.008227435,0.4223324,0.009894212,0.1670309],"study_design_scores_gemma":[0.00002666896,0.00009219338,0.0002961518,0.000145785,0.00001736243,0.0001829662,0.00009213458,0.6536013,0.003527366,0.3367056,0.005285496,0.0000268606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0317799,0.007673181,0.8763108,0.009852212,0.0009279199,0.0000818676,0.0002236421,0.0008540914,0.0722964],"genre_scores_gemma":[0.9182613,0.005111315,0.05161809,0.001366318,0.0008252158,0.0003487842,0.0003004409,0.0004141879,0.02175432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009270732,"threshold_uncertainty_score":0.03101367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232044170673488,"score_gpt":0.2190194667523614,"score_spread":0.2066990250456265,"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."}}