{"id":"W4410759958","doi":"10.1016/j.paerosci.2025.101100","title":"The state of hybrid artificial intelligence for interstellar missions","year":2025,"lang":"en","type":"article","venue":"Progress in Aerospace Sciences","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Astrobiology; Aerospace engineering; State (computer science); Physics; Computer science; Astronomy; Engineering","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":[0.002034689,0.0005997316,0.0007441218,0.0009017629,0.0004909552,0.003942112,0.001703587,0.001965221,0.003525054],"category_scores_gemma":[0.002461697,0.0003941713,0.0009830503,0.001045016,0.002345587,0.004832895,0.001957744,0.002911386,0.001298941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724833,"about_ca_system_score_gemma":0.001013719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001482797,"about_ca_topic_score_gemma":0.001001696,"domain_scores_codex":[0.9990969,0.0002662624,0.00005695646,0.0001627279,0.0003656901,0.00005154025],"domain_scores_gemma":[0.9983369,0.001086127,0.00009411001,0.0002055566,0.0002161736,0.00006116524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006413001,0.00005979045,0.0008099509,0.002096642,0.000145673,0.0001111804,0.0002353736,0.02498483,0.002239208,0.6018727,0.006990665,0.3603899],"study_design_scores_gemma":[0.00001639109,0.0001328513,0.0008585912,0.001410821,0.00008219605,0.0002532357,0.000169044,0.0723796,0.002414318,0.5949736,0.3272221,0.0000872887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01360668,0.5044309,0.3466055,0.01562947,0.001079302,0.0001025751,0.0002242369,0.0005771284,0.1177443],"genre_scores_gemma":[0.3488882,0.4241893,0.1995042,0.004553163,0.001815467,0.0003354844,0.0006474047,0.0002189,0.01984774],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003942112,"threshold_uncertainty_score":0.01251465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03840700440084413,"score_gpt":0.3412702750837691,"score_spread":0.302863270682925,"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."}}