{"id":"W6884503833","doi":"10.1051/0004-6361/201425487/pdf","title":"Conditions for water ice lines and Mars-mass exomoons around accreting super-Jovian planets at 1","year":2015,"lang":"en","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University; National Aeronautics and Space Administration","keywords":"Planet; Exoplanet; Planetary mass; Hydrostatic equilibrium; Accretion (finance); Planetary system; Planetary migration; Jupiter mass; Icy moon; Stars","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000202394,0.0003928003,0.0003379261,0.000368992,0.000603758,0.0009007397,0.0007414865,0.001239101,0.002722601],"category_scores_gemma":[0.001714176,0.0003681482,0.0007344839,0.0002315455,0.0006881537,0.0006334619,0.0007041566,0.0004814073,0.0002263271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008398479,"about_ca_system_score_gemma":0.0005042021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01571416,"about_ca_topic_score_gemma":0.008999762,"domain_scores_codex":[0.9999081,0.00001909975,0.00000504376,0.00002162384,0.00001113187,0.00003510368],"domain_scores_gemma":[0.9996154,0.0001331501,0.0001017454,0.00003150947,0.00003592165,0.00008226736],"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":[0.0002436185,0.000192367,0.06005253,0.0001028749,0.00007919058,0.0008671548,0.0003058179,0.9236783,0.008909116,0.003040279,0.0007321536,0.001796704],"study_design_scores_gemma":[0.0001503235,0.0001274673,0.03070642,0.0000285937,0.00004555225,0.0002262324,0.0003906148,0.9644728,0.001749243,0.001130401,0.0009432351,0.00002916982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917995,0.0002086929,0.00220872,0.0001986454,0.00002436227,0.00003152441,0.0006073742,0.00007129696,0.004849951],"genre_scores_gemma":[0.9987308,0.00005953419,0.0005560998,0.00002202513,0.000005938423,0.00001673356,0.0002095763,0.0000160254,0.0003832164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01571416,"threshold_uncertainty_score":0.03124541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05711354470584402,"score_gpt":0.3100693877303144,"score_spread":0.2529558430244704,"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."}}