{"id":"W7001501745","doi":"","title":"Large-scale comparison of snow-water-equivalent field measurements against near-real time gridded snow products over Quebec","year":2022,"lang":"en","type":"other","venue":"Espace ÉTS (ETS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snow; Field (mathematics); Snow cover; Snowmelt","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001383697,0.001336021,0.002051618,0.0007296902,0.0003028108,0.0001753452,0.00137639,0.0007251527,0.0701573],"category_scores_gemma":[0.0003922771,0.001239335,0.0004718906,0.0008042597,0.000239748,0.0001982944,0.001075029,0.001205071,0.01537379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073488,"about_ca_system_score_gemma":0.0005846411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005458364,"about_ca_topic_score_gemma":0.03218593,"domain_scores_codex":[0.9914735,0.0008519338,0.001056296,0.00185929,0.003071603,0.001687406],"domain_scores_gemma":[0.9953638,0.0001256476,0.001254249,0.002599868,0.0002695657,0.0003868377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004341792,0.001724289,0.00453513,0.0004531899,0.000753315,0.00003505104,0.004718215,0.0002002096,0.02512181,0.00001622397,0.9614547,0.0005536249],"study_design_scores_gemma":[0.00276663,0.0003043092,0.0007808905,0.000735633,0.0003677887,0.00000396584,0.0004444035,0.0003173779,0.04737722,0.000004392474,0.9454203,0.00147715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09134325,0.001617346,0.00004631391,0.002219496,0.004433742,0.006736022,0.003447686,0.002456998,0.8876991],"genre_scores_gemma":[0.02121804,0.00002961403,0.0007003871,0.0002185583,0.001002742,0.0002233591,0.002776839,0.002736396,0.9710941],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08339491,"threshold_uncertainty_score":0.9999391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02667332047423442,"score_gpt":0.279877879776011,"score_spread":0.2532045593017765,"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."}}