{"id":"W3048172467","doi":"","title":"Preparations for ExoMars: Learning Lessons from Curiosity","year":2016,"lang":"en","type":"article","venue":"ORBi (University of Liège)","topic":"Space exploration and regulation","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curiosity; Astrobiology; Geology; Computer science; Psychology; Biology; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0187372,0.001598306,0.001169843,0.001191852,0.005921667,0.01238944,0.004927226,0.005361465,0.01016843],"category_scores_gemma":[0.03494612,0.0006008756,0.00115402,0.0006592608,0.01144414,0.01622006,0.01353902,0.01624273,0.007134559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004093297,"about_ca_system_score_gemma":0.007622942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001732597,"about_ca_topic_score_gemma":0.004643139,"domain_scores_codex":[0.9864802,0.007736151,0.0003776821,0.001510406,0.002816912,0.001078675],"domain_scores_gemma":[0.9633346,0.01341499,0.001375602,0.002643567,0.005697763,0.0135335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001461536,0.0006316603,0.002884764,0.001195971,0.00006428942,0.001430644,0.0955523,0.0004645957,0.001479984,0.02912273,0.6301067,0.2369202],"study_design_scores_gemma":[0.00005014213,0.0002257514,0.001070197,0.0009415094,0.00001548284,0.0007670922,0.05320607,0.0002237104,0.0006474066,0.05995057,0.8828127,0.00008952912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04770194,0.03169471,0.0308241,0.8030826,0.02297154,0.0004730049,0.0004071649,0.001538169,0.06130683],"genre_scores_gemma":[0.3540314,0.04943369,0.1009817,0.3558671,0.01117934,0.001664925,0.0009841785,0.002904112,0.1229536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0187372,"threshold_uncertainty_score":0.09909296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121308185246009,"score_gpt":0.2466043036924957,"score_spread":0.2253912218400356,"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."}}