{"id":"W4226063389","doi":"10.1029/2021ea002204","title":"Atmospheric Sciences Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science","year":2022,"lang":"en","type":"article","venue":"Earth and Space Science","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Icon; Computer science; Atmosphere (unit); State (computer science); Data science; Meteorology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.004418749,0.0001864541,0.0001804683,0.0000619563,0.005278049,0.0007042535,0.002019664,0.00002214215,0.002773063],"category_scores_gemma":[0.0002661873,0.00015562,0.00003118141,0.004883397,0.009588698,0.001414616,0.002642826,0.0003088172,0.00009185362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002687815,"about_ca_system_score_gemma":0.0003673376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206982,"about_ca_topic_score_gemma":0.0001081859,"domain_scores_codex":[0.9965349,0.00009960219,0.0001700525,0.001281683,0.001116383,0.0007973517],"domain_scores_gemma":[0.999041,0.00009147953,0.00009459913,0.0004159031,0.00003598214,0.0003210337],"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":[0.0004731114,0.001539033,0.1032477,0.00001733068,0.00001462812,0.00005974414,0.02669178,0.4458522,0.1065016,0.2654676,0.003843988,0.04629133],"study_design_scores_gemma":[0.001973741,0.003883641,0.06517597,0.00005711688,0.00002450162,0.0001792743,0.05809825,0.7969795,0.003863313,0.007126688,0.0608252,0.001812781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388428,0.00007708647,0.0001752703,0.001440167,0.0002768574,0.0003912114,0.000008190521,0.00005213672,0.05873628],"genre_scores_gemma":[0.9940749,0.00004403663,0.003669553,0.0004809877,0.0000153745,0.00003158602,6.069497e-7,0.000006714624,0.001676174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3511273,"threshold_uncertainty_score":0.9981385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632770296315626,"score_gpt":0.2513792913727528,"score_spread":0.2350515884095966,"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."}}