{"id":"W4293795867","doi":"10.1126/sciadv.abn3485","title":"Geological processes mediate a microbial dispersal loop in the deep biosphere","year":2022,"lang":"en","type":"article","venue":"Science Advances","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Nova Scotia; Geological Survey of Canada; Natural Resources Canada; University of Calgary","funders":"","keywords":"Biosphere; Biological dispersal; Ecology; Deep sea; Microbial ecology; Earth science; Microbial loop; Geobiology; Endospore; Geology; Biology; Microbial population biology; Environmental science; Ecosystem; Oceanography; Paleontology; Food web; Bacteria","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008969221,0.0000906589,0.0001025795,0.00002651455,0.001128451,0.00002112477,0.001602963,0.00002350483,0.006614645],"category_scores_gemma":[0.000173846,0.00006083893,0.00002027865,0.001259076,0.002274009,0.0003832773,0.0007967703,0.0003366828,0.0001255852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008264372,"about_ca_system_score_gemma":0.00005713934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001731863,"about_ca_topic_score_gemma":0.007384199,"domain_scores_codex":[0.9987128,0.0002423595,0.000128941,0.0003011571,0.00022543,0.0003892683],"domain_scores_gemma":[0.9994797,0.0001959651,0.00005926046,0.0002230851,0.000006688943,0.0000352668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003497967,0.001552942,0.3307678,0.00004266429,0.000007623097,0.0001131792,0.02351511,0.07702913,0.5371178,0.001409855,0.003478091,0.0246159],"study_design_scores_gemma":[0.002799997,0.003572341,0.3667454,0.00002613193,0.00004127792,0.0005883996,0.04950797,0.00257393,0.02459644,0.04720205,0.500053,0.002293071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994956,0.0002595528,0.00001651632,0.001035719,0.0001895582,0.0001584964,0.000005082748,0.00001627332,0.003362813],"genre_scores_gemma":[0.9979627,0.00002847416,0.0001971038,0.001656914,0.00001748095,0.00004329023,0.000005526658,0.000002471536,0.00008602972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5125214,"threshold_uncertainty_score":0.9942935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008800880372627912,"score_gpt":0.2435361590046241,"score_spread":0.2347352786319962,"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."}}