{"id":"W4403262592","doi":"10.5194/tc-18-4671-2024","title":"Exploring the decision-making process in model development: focus on the Arctic snowpack","year":2024,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Makivik Corporation; Environment and Climate Change Canada","funders":"Horizon 2020; European Commission","keywords":"Snowpack; Arctic; Transparency (behavior); Context (archaeology); Snow; Process (computing); Climate change; Environmental resource management; Climate model; Environmental science; Management science; Computer science; Meteorology; Geography; Engineering; Geology; Oceanography","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":[0.05820968,0.001177306,0.0009941099,0.001802223,0.004245079,0.01011649,0.00309461,0.00241758,0.006875219],"category_scores_gemma":[0.09022931,0.0007852311,0.00187972,0.002333365,0.003710994,0.01122724,0.007957315,0.006007381,0.0007421421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005895521,"about_ca_system_score_gemma":0.01542556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01620753,"about_ca_topic_score_gemma":0.02547036,"domain_scores_codex":[0.9554391,0.0401037,0.0007002424,0.001037224,0.00170622,0.001013604],"domain_scores_gemma":[0.8507814,0.1296997,0.002560241,0.004423104,0.009877683,0.002657814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008680123,0.001055539,0.02751841,0.004108835,0.0005107896,0.002083687,0.07690571,0.3463655,0.005271413,0.2957434,0.01858199,0.2209868],"study_design_scores_gemma":[0.0002754244,0.0005705779,0.004183967,0.005870521,0.000401696,0.0003830486,0.059941,0.4371507,0.007000086,0.2840993,0.1998221,0.0003016781],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3200343,0.005509604,0.5330814,0.04574889,0.0007877502,0.001414872,0.0005926509,0.0006913828,0.09213909],"genre_scores_gemma":[0.6855345,0.003347322,0.3044194,0.001704812,0.0001485324,0.0007294157,0.0004160519,0.000406886,0.003293098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05820968,"threshold_uncertainty_score":0.3078458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06881286750071158,"score_gpt":0.2562520588440793,"score_spread":0.1874391913433677,"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."}}