{"id":"W2514617238","doi":"","title":"Microbial Analysis of Arctic Snow and Frost Flowers: What Next Generation Sequencing Method Can Reveal","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Frost (temperature); Snow; Arctic; Snow removal; Environmental science; Meteorology; Biology; Ecology; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.001581638,0.0001040205,0.0002451621,0.0001055784,0.0001552543,0.0001176132,0.000144395,0.00007237277,0.0001590425],"category_scores_gemma":[0.000481253,0.00009824643,0.00006862512,0.0002436564,0.0001024318,0.0003942538,0.0001625467,0.0001213584,0.00004141869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786559,"about_ca_system_score_gemma":0.00001430533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02510395,"about_ca_topic_score_gemma":0.07872986,"domain_scores_codex":[0.998575,0.0003513478,0.0002315466,0.0003162975,0.0001825209,0.0003433135],"domain_scores_gemma":[0.9993319,0.0002131367,0.000113159,0.0001965931,0.00001536564,0.0001298461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000958524,0.00001313994,0.1396729,0.00001456339,0.00009112888,0.000002051768,0.0007897264,0.004401157,0.8348818,0.00001064329,0.0004811977,0.01963213],"study_design_scores_gemma":[0.001099533,0.000393212,0.1723068,0.0001577869,0.0007931627,0.00002459363,0.001973776,0.739181,0.08060647,0.0002811274,0.002396397,0.0007861379],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963974,0.0001005233,0.002577904,0.000234518,0.00008658497,0.00009490897,0.000004023952,0.00001066633,0.0004934839],"genre_scores_gemma":[0.9844466,0.00009457007,0.01497707,0.0002653833,0.00008637225,0.000004854485,0.00002901793,0.000009367181,0.00008673826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7542753,"threshold_uncertainty_score":0.981388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207356422070686,"score_gpt":0.2699020118818254,"score_spread":0.2378284476611186,"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."}}