{"id":"W2037906925","doi":"10.1029/2011eo080001","title":"Space Science Informatics: A Canadian Approach","year":2011,"lang":"en","type":"article","venue":"Eos","topic":"Space Exploration and Technology","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Workflow; Space (punctuation); Computer science; Data science; Informatics; Space Science; e-Science; Range (aeronautics); Volume (thermodynamics); Data access; World Wide Web; Database; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006834236,0.001195525,0.0008398475,0.01529292,0.01652534,0.02688495,0.003820554,0.002836201,0.02295837],"category_scores_gemma":[0.009656408,0.0008131031,0.0008816771,0.03069709,0.01915922,0.0106121,0.009249751,0.00480356,0.003847656],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1468492,"about_ca_system_score_gemma":0.2524822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9533872,"about_ca_topic_score_gemma":0.9391268,"domain_scores_codex":[0.9922465,0.001409857,0.0004056865,0.0009775899,0.003930581,0.001029717],"domain_scores_gemma":[0.9917849,0.00123243,0.0002161271,0.0006344502,0.004136446,0.001995683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008330339,0.00002087812,0.0006796276,0.0001394002,0.00001109426,0.0001023174,0.002602097,0.0004916762,0.0001088303,0.8780232,0.07625411,0.04155847],"study_design_scores_gemma":[0.000005157548,0.000004197874,0.001051508,0.0002533039,0.00001067945,0.00007786103,0.002743345,0.0006994292,0.00008478035,0.07519127,0.9198584,0.00002006052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003483539,0.0216574,0.03903768,0.1154077,0.001785107,0.000252198,0.001659156,0.0006044668,0.8161128],"genre_scores_gemma":[0.2191006,0.1162715,0.1363046,0.0190178,0.002280246,0.0006062542,0.003805619,0.001004778,0.5016087],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8531508,"threshold_uncertainty_score":0.989534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995777996975415,"score_gpt":0.1780512443609436,"score_spread":0.1580934643911894,"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."}}