{"id":"W4255295965","doi":"10.26226/morressier.5b5199bdb1b87b000ecee1c7","title":"0041 - Quantifying microbial communities in the deep dark basin of the Fram Strait, Arctic Ocean (LTER HAUSGARTEN)","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Structural basin; Arctic; Oceanography; Geology; The arctic; Canada Basin; Environmental science; Climatology; Geomorphology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003146386,0.000383833,0.0002253877,0.0004899379,0.0004260968,0.0006318906,0.0002038401,0.0004640743,0.001279497],"category_scores_gemma":[0.0004377511,0.0002137224,0.0003707004,0.00041015,0.0001598837,0.000426638,0.0004966839,0.000144531,0.0006230019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002551949,"about_ca_system_score_gemma":0.0004476959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0260663,"about_ca_topic_score_gemma":0.03195897,"domain_scores_codex":[0.9998569,0.00001593423,0.000006974426,0.00006436368,0.00003043539,0.00002530779],"domain_scores_gemma":[0.9998995,0.0000162429,0.00001234548,0.00002054808,0.00003214025,0.00001913123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001221249,0.0002655625,0.5160493,0.0003086025,0.0005105817,0.0003103541,0.001465896,0.03870063,0.2981229,0.0008990039,0.004145714,0.1380002],"study_design_scores_gemma":[0.00007364802,0.0003524014,0.8544398,0.00004944018,0.0001573968,0.0001483549,0.0008641995,0.05737159,0.07564995,0.000637394,0.01021354,0.00004234759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943935,0.0001742107,0.001581187,0.00003362742,0.00002556996,0.000007659584,0.002386736,0.0001241846,0.001273245],"genre_scores_gemma":[0.985863,0.0001580268,0.006201051,0.00002114875,0.00001562474,0.00001366673,0.006072908,0.00006638886,0.001588153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0260663,"threshold_uncertainty_score":0.05182916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03360761564210919,"score_gpt":0.2522170122731436,"score_spread":0.2186093966310345,"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."}}