{"id":"W7020165249","doi":"","title":"Investigating low temperature carbon and nitrogen fixation of High Arctic cyanobacterial mats","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Cyanobacteria; Carbon fibers; Arctic; Nitrogen; Nitrogen fixation; Carbon fixation; Carbon cycle","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002838452,0.0001663548,0.0001848029,0.0001826644,0.0005529762,0.0006615231,0.0002493683,0.0004070583,0.001706514],"category_scores_gemma":[0.0002712332,0.0001397205,0.0001793473,0.000202885,0.0002247615,0.0002933273,0.0003316433,0.0002921509,0.0002923724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006714573,"about_ca_system_score_gemma":0.000479981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01638198,"about_ca_topic_score_gemma":0.0279109,"domain_scores_codex":[0.9999286,0.000007970448,0.000002869955,0.00002350836,0.00001415746,0.00002286999],"domain_scores_gemma":[0.9998866,0.00004143408,0.00001204835,0.00000379393,0.00003027358,0.00002582066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005726296,0.00003980102,0.02860552,0.00008324337,0.00003087707,0.0001006719,0.0004444055,0.0003355773,0.9618506,0.0001425231,0.0001380211,0.007656206],"study_design_scores_gemma":[0.00003420741,0.0006047942,0.7177972,0.00003256725,0.0000738337,0.0002692355,0.002287274,0.001729488,0.273023,0.0002559967,0.003872465,0.00001999735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975056,0.0004965463,0.0002586612,0.00004361233,0.00001259639,0.000006821563,0.00007593877,0.000003135859,0.001597087],"genre_scores_gemma":[0.9954971,0.0006177578,0.0005457472,0.00005620552,0.00001130382,0.00001476885,0.0002413514,0.00001076495,0.003004967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01638198,"threshold_uncertainty_score":0.03257322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008861236491516397,"score_gpt":0.224502402432209,"score_spread":0.2156411659406926,"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."}}