{"id":"W4226494465","doi":"10.1130/abs/2022ne-374119","title":"NEW RESULTS FROM APOLLO PROGRAM SCIENCE","year":2022,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Apollo; Computer science; Astrobiology; Data science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006086657,0.0007988856,0.0004693528,0.004498042,0.001385031,0.004297635,0.00100031,0.001065789,0.07761247],"category_scores_gemma":[0.006784502,0.0002812044,0.001012043,0.003343175,0.0007875582,0.001911195,0.001919911,0.00158574,0.01360786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003601395,"about_ca_system_score_gemma":0.006133201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0228485,"about_ca_topic_score_gemma":0.0461423,"domain_scores_codex":[0.9962404,0.0005842383,0.0001348895,0.0004164748,0.00213725,0.0004867715],"domain_scores_gemma":[0.9908173,0.001556366,0.000349884,0.001138903,0.004041061,0.002096514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008483296,0.0003130875,0.006355316,0.0004838846,0.00004290593,0.0001585824,0.0002604946,0.0005391912,0.001543147,0.01710919,0.7621549,0.2101909],"study_design_scores_gemma":[0.00005398516,0.00006410597,0.01558574,0.00006000814,0.00002300638,0.00004619758,0.0001136024,0.0001275353,0.0007560484,0.001956288,0.9812027,0.00001085647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02156994,0.008841492,0.00875851,0.08517234,0.02014264,0.0004965683,0.03782871,0.001880465,0.8153093],"genre_scores_gemma":[0.1150847,0.00771167,0.0212369,0.01395337,0.009437134,0.0004888351,0.04579063,0.001774409,0.7845224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07761247,"threshold_uncertainty_score":0.2596396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02877637432448786,"score_gpt":0.2477501047866249,"score_spread":0.2189737304621371,"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."}}