{"id":"W2805555311","doi":"","title":"GLM: Adventures in Post-Launch Test","year":2017,"lang":"en","type":"article","venue":"97th American Meteorological Society Annual Meeting","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Test (biology); Adventure; Aeronautics; Computer science; Engineering; Artificial intelligence; Geology","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":[0.005535882,0.001157229,0.0005789221,0.001065709,0.001099381,0.002739514,0.002844458,0.001489213,0.06732332],"category_scores_gemma":[0.009669897,0.0007723442,0.0007242693,0.0006710897,0.0007783745,0.003608923,0.005395688,0.003519916,0.04408385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009179338,"about_ca_system_score_gemma":0.0009251063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002570626,"about_ca_topic_score_gemma":0.007400488,"domain_scores_codex":[0.9975135,0.0005837867,0.00007268901,0.000306177,0.001029168,0.0004946658],"domain_scores_gemma":[0.9922654,0.001661514,0.0003089428,0.002478725,0.001256815,0.002028595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001810058,0.000414143,0.009472567,0.0002383319,0.00007278216,0.0006327372,0.000806321,0.003878851,0.007338826,0.005313823,0.7446638,0.2253578],"study_design_scores_gemma":[0.0003172456,0.0008615967,0.01530819,0.0002043763,0.00004899252,0.0006891498,0.0005736916,0.02653756,0.0120127,0.01284933,0.9304421,0.0001552214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08098524,0.001893428,0.1463924,0.01258512,0.004172148,0.0009418199,0.03078213,0.3199382,0.4023095],"genre_scores_gemma":[0.4589542,0.0006098136,0.1697179,0.004842462,0.001638679,0.0008007406,0.05944799,0.0604354,0.2435528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06732332,"threshold_uncertainty_score":0.225219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167475356217704,"score_gpt":0.2586366595270924,"score_spread":0.2469619059649154,"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."}}