{"id":"W4403649602","doi":"10.5194/tc-18-4775-2024","title":"Elucidation of spatiotemporal structures from high-resolution blowing-snow observations","year":2024,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Students on Ice","funders":"Japan Society for the Promotion of Science","keywords":"Snow; Resolution (logic); Environmental science; Remote sensing; Geology; Geography; Meteorology; Computer science; Artificial intelligence","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":[0.0001830551,0.0001571478,0.0001750968,0.0000148147,0.0003229996,0.0001079399,0.0002411397,0.00008596898,0.003948668],"category_scores_gemma":[0.0000418126,0.0001099646,0.00009946524,0.0005145789,0.000105548,0.0002627233,0.00002309389,0.0001644377,0.00009929603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001213224,"about_ca_system_score_gemma":0.00007674414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04263078,"about_ca_topic_score_gemma":0.05553529,"domain_scores_codex":[0.9987842,0.00006977509,0.0003364436,0.0002755501,0.000322367,0.0002115935],"domain_scores_gemma":[0.9991059,0.0003748958,0.00009572292,0.0002945487,0.00007930004,0.00004960323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005366895,0.00004529414,0.6714845,0.00009276404,0.0004240914,0.00001352788,0.002329393,0.06166549,0.0004226589,0.006241618,0.04496584,0.2122611],"study_design_scores_gemma":[0.0001137775,0.00004372613,0.9184624,0.00004233843,0.00006434214,9.028773e-7,0.0003690317,0.04482045,0.00006582811,0.007632751,0.02825027,0.0001341831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812779,0.00581442,0.008172228,0.001465416,0.001655896,0.0002708037,0.0004973282,0.0001371078,0.0007089429],"genre_scores_gemma":[0.9944959,0.0001200756,0.003402919,0.0001566292,0.0004148594,0.000004362567,0.0007351565,0.000007985076,0.000662058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2469779,"threshold_uncertainty_score":0.9969618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02376676301315504,"score_gpt":0.2191998750077983,"score_spread":0.1954331119946432,"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."}}