{"id":"W3022132893","doi":"","title":"Canadian Space Agency Objectives for the 2016 Canadian Mars Sample Return Analogue Deployment","year":2017,"lang":"en","type":"article","venue":"LPI","topic":"Space Exploration and Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Software deployment; Agency (philosophy); Mars Exploration Program; Space (punctuation); Sample (material); Business; Computer science; Astrobiology; Sociology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007676167,0.00009267487,0.00008158261,0.0001301889,0.0004650605,0.00007316178,0.000298639,0.00008956763,0.0001067791],"category_scores_gemma":[0.0001462775,0.00007642966,0.00004526811,0.00005017198,0.00003863611,0.00008324128,0.00001250796,0.00009970093,0.00004871583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000276587,"about_ca_system_score_gemma":0.000192081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8912408,"about_ca_topic_score_gemma":0.9980969,"domain_scores_codex":[0.9994377,0.000005531945,0.00006843964,0.0001138907,0.00004322459,0.0003311507],"domain_scores_gemma":[0.999249,0.00004904602,0.00002091498,0.000472705,0.0000263805,0.0001819954],"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":[0.00001675484,0.00002013591,0.05158279,0.00006215012,0.0006895349,0.00007352929,0.004491288,0.002308088,0.001095645,0.08260402,0.7446621,0.1123939],"study_design_scores_gemma":[0.0002852573,0.00003241651,0.03753858,0.00001450142,0.00002482466,0.000003902291,0.0005069021,0.009092744,0.000980054,0.004389321,0.9468774,0.0002541322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2475668,0.01059048,0.1160231,0.4031134,0.02167568,0.008644981,0.00428503,0.003426792,0.1846737],"genre_scores_gemma":[0.9979317,0.0001327086,0.0006828877,0.0001762039,0.00009429451,0.00008482232,0.00001708511,0.00002607712,0.0008542541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7503648,"threshold_uncertainty_score":0.3576916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728212356719891,"score_gpt":0.2326211412051443,"score_spread":0.2153390176379454,"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."}}