{"id":"W4390528387","doi":"10.5194/egusphere-2023-2926","title":"Exploring the decision-making process in model development: focus on the Arctic snowpack","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Makivik Corporation; Environment and Climate Change Canada","funders":"Horizon 2020","keywords":"Snowpack; Arctic; Context (archaeology); Transparency (behavior); Snow; Process (computing); Environmental resource management; Climate change; Environmental science; Environmental planning; Computer science; Management science; Geography; Meteorology; 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":[0.03899204,0.0009666801,0.0008637802,0.001456492,0.003526847,0.008630288,0.002607418,0.002098025,0.006930433],"category_scores_gemma":[0.0714088,0.0006627893,0.001604315,0.001913914,0.002722309,0.008923525,0.006062548,0.004918079,0.0007091244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00438087,"about_ca_system_score_gemma":0.01234096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01840924,"about_ca_topic_score_gemma":0.03032781,"domain_scores_codex":[0.9712544,0.02568073,0.0004760258,0.0007134288,0.001154001,0.0007214001],"domain_scores_gemma":[0.8930267,0.09182668,0.001942409,0.003368576,0.007565096,0.002270604],"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":[0.000822779,0.001025836,0.03355574,0.003772596,0.0005129729,0.002041905,0.05748637,0.4210462,0.00565642,0.2228373,0.02036295,0.230879],"study_design_scores_gemma":[0.000252017,0.0005428423,0.004916043,0.004750085,0.000399994,0.0003336725,0.04661728,0.5313997,0.006864714,0.2167339,0.186924,0.0002655894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3753729,0.005797412,0.4806219,0.04262246,0.0008120401,0.001155697,0.0007020775,0.0008148367,0.09210067],"genre_scores_gemma":[0.6848673,0.003613046,0.3045852,0.001619446,0.0001480459,0.0005702947,0.0004900281,0.0004082345,0.003698399],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03899204,"threshold_uncertainty_score":0.206212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1267471642452179,"score_gpt":0.2775251804798284,"score_spread":0.1507780162346105,"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."}}