{"id":"W2246003695","doi":"10.1109/mic.2016.2","title":"Searching from Mars","year":2016,"lang":"en","type":"article","venue":"IEEE Internet Computing","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Mars Exploration Program; Astrobiology; Physics","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":[0.0003860561,0.0001483364,0.0001818919,0.00009872317,0.00007723547,0.0002406344,0.001207614,0.00005718246,0.00001746638],"category_scores_gemma":[0.00004990198,0.0001026981,0.00008245151,0.00012897,0.00003348925,0.0002583039,0.0003546653,0.0001328902,0.0005464706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007800976,"about_ca_system_score_gemma":0.00002560787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000855302,"about_ca_topic_score_gemma":0.0000177467,"domain_scores_codex":[0.9984357,0.0001293891,0.0002923644,0.0004817467,0.0002718758,0.000388976],"domain_scores_gemma":[0.9987634,0.0004961036,0.000109647,0.0004792265,0.00004280213,0.0001088628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009458488,0.00005505115,0.01268388,0.00001486497,0.00009429429,0.0001336572,0.008547815,0.0001227191,0.05309608,0.02496281,0.01350635,0.886773],"study_design_scores_gemma":[0.002360866,0.000306221,0.008478734,0.003702219,0.000011335,0.000212352,0.0001852514,0.7282329,0.1787686,0.01063173,0.06538938,0.001720336],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3795271,0.0000460935,0.6158374,0.0003969783,0.001838125,0.00004396032,0.000001020261,0.0002724151,0.002036871],"genre_scores_gemma":[0.9829633,0.000001331833,0.01506836,0.0002232878,0.0005725991,0.000001727886,5.059571e-7,0.00001436099,0.001154504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8850527,"threshold_uncertainty_score":0.7023957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199027694162501,"score_gpt":0.2580016924333763,"score_spread":0.2360114154917513,"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."}}