{"id":"W2603240302","doi":"","title":"Can a solid FeS layer help explain Mercury’s unique magnetic field?","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mercury (programming language); Computer science","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":[0.0001684674,0.0003381196,0.0002655468,0.0005720993,0.0009053632,0.0009219465,0.0007845493,0.001189514,0.01024144],"category_scores_gemma":[0.0007775034,0.0001804575,0.0002750876,0.000218311,0.001298501,0.00187066,0.001018402,0.0006720495,0.001022033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004974583,"about_ca_system_score_gemma":0.0002781309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003075036,"about_ca_topic_score_gemma":0.002838254,"domain_scores_codex":[0.9999337,0.000005342026,0.000002560914,0.00001171448,0.00002171328,0.0000250592],"domain_scores_gemma":[0.9998842,0.00003006872,0.00001574471,0.00002393494,0.00002142244,0.00002459231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001090879,0.0002122597,0.01691717,0.001556653,0.0002571205,0.005203038,0.001551407,0.02768811,0.2999388,0.552601,0.0305657,0.06241782],"study_design_scores_gemma":[0.000341577,0.0006272146,0.02644175,0.0004280631,0.0002059388,0.002992851,0.004822025,0.1398532,0.109009,0.4793927,0.2357723,0.0001134829],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7749966,0.005740115,0.02739251,0.02736012,0.002578833,0.00007523668,0.000820166,0.001643446,0.1593929],"genre_scores_gemma":[0.9905799,0.0006113016,0.002010954,0.0004438844,0.00009826029,0.000008829555,0.0001309267,0.00007233992,0.00604361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01024144,"threshold_uncertainty_score":0.03426105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212759100173546,"score_gpt":0.2286308038909073,"score_spread":0.2165032128891718,"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."}}