{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005505095,0.0004951082,0.0006638311,0.0006006603,0.0007363857,0.001831273,0.0002863931,0.0007512724,0.00126628],"category_scores_gemma":[0.001032056,0.0002515863,0.000607598,0.0005041761,0.000297873,0.0008904638,0.0004940606,0.0006267853,0.0007157463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004029352,"about_ca_system_score_gemma":0.0006015524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005535272,"about_ca_topic_score_gemma":0.02409217,"domain_scores_codex":[0.9995871,0.00007257849,0.00001708005,0.0001273537,0.0001165926,0.00007941353],"domain_scores_gemma":[0.9994791,0.0001297204,0.00007946851,0.00004979889,0.0001604853,0.0001013872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002980561,0.00006430792,0.141845,0.0003991955,0.000221961,0.000180079,0.0006874829,0.0005086037,0.7795283,0.0006359148,0.001470878,0.07416023],"study_design_scores_gemma":[0.00001791696,0.0004549822,0.7538421,0.0005223994,0.0004850235,0.001007118,0.004343196,0.005582741,0.1654196,0.004604334,0.06361122,0.0001094524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461698,0.01318082,0.02362761,0.002361248,0.0005272833,0.000058787,0.005946925,0.0001994212,0.007927997],"genre_scores_gemma":[0.9254413,0.009728475,0.05219368,0.002283417,0.0003955085,0.00007850297,0.005576649,0.0002383747,0.004064129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005535272,"threshold_uncertainty_score":0.01100612,"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."}}