{"id":"W4401399426","doi":"10.5194/tc-18-3471-2024","title":"The AutoICE Challenge","year":2024,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"Natural Environment Research Council; Sight Research UK; European Space Agency","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001730325,0.0001177171,0.00006854592,0.000005589967,0.0005279684,0.0003237602,0.001529759,0.00003800368,0.00002622675],"category_scores_gemma":[0.000006362271,0.00006355544,0.00006529219,0.0005049879,0.00009010319,0.0002194507,0.0003147786,0.0002664112,0.0009010141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003413688,"about_ca_system_score_gemma":0.00004365054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001170357,"about_ca_topic_score_gemma":0.0002267976,"domain_scores_codex":[0.9989779,0.00004658569,0.0001450413,0.0003342423,0.0002040157,0.0002921859],"domain_scores_gemma":[0.9983767,0.0005147861,0.00003294884,0.0009923768,0.00003067701,0.0000525046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[9.928604e-7,0.00001111802,0.000003661241,0.000006226676,0.00001447796,0.000009065096,0.0002962087,0.0005134288,0.00005060183,0.582906,0.02694095,0.3892473],"study_design_scores_gemma":[0.00002881226,0.00001586062,0.0001489409,0.000011833,0.000004037039,0.00001393734,0.00002079065,0.1064499,0.00002456528,0.06060792,0.8325849,0.00008849101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008087633,0.03166084,0.853361,0.06731945,0.001974158,0.0006782519,0.000003588651,0.001803381,0.04239054],"genre_scores_gemma":[0.9733391,0.0007974494,0.005954976,0.0008821093,0.0005579551,0.0002350592,0.000001017006,0.00003132365,0.01820106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9725303,"threshold_uncertainty_score":0.9998769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508526702245036,"score_gpt":0.2596781636611139,"score_spread":0.2445928966386635,"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."}}