{"id":"W4297011507","doi":"10.5194/epsc2022-1227","title":"Exploring Europa&amp;#8217;s biological potential using machine learning and laboratory simulations","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Biochemistry; Biophysics; Biology","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":[0.0006736433,0.0005797858,0.0007426844,0.0007548055,0.000789187,0.001535558,0.00122547,0.001722169,0.005124463],"category_scores_gemma":[0.003040456,0.0003062562,0.0008726086,0.0006447337,0.001067954,0.001168215,0.001088045,0.001055847,0.0006041742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00186575,"about_ca_system_score_gemma":0.001387879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033784,"about_ca_topic_score_gemma":0.01133853,"domain_scores_codex":[0.9998288,0.00006307891,0.000007987015,0.00003405193,0.00003415529,0.00003185643],"domain_scores_gemma":[0.9986668,0.0008685685,0.0001054434,0.0001008061,0.0001364274,0.000121971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003281775,0.00003872611,0.002238659,0.00005423942,0.00003608596,0.00009917051,0.0000259737,0.9855392,0.0004098564,0.007333535,0.001147124,0.003044567],"study_design_scores_gemma":[0.00001800787,0.00001153446,0.0003723144,0.00001111616,0.000006677449,0.000008449414,0.00002061516,0.9931667,0.0001295531,0.005214971,0.001033937,0.000006052869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7352515,0.00284519,0.1036235,0.006224859,0.0004338768,0.0002111439,0.005178824,0.001445186,0.1447859],"genre_scores_gemma":[0.9678193,0.0008014903,0.02513664,0.000418333,0.00007971593,0.0002284702,0.001785551,0.0001420261,0.003588475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02033784,"threshold_uncertainty_score":0.04043895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1308230235684937,"score_gpt":0.284953266796111,"score_spread":0.1541302432276173,"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."}}