{"id":"W4391517660","doi":"10.1016/j.precamres.2024.107309","title":"A new salinity-based model for Cryogenian Mn-carbonate deposits","year":2024,"lang":"en","type":"article","venue":"Precambrian Research","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina; University of Alberta","funders":"National Postdoctoral Program for Innovative Talents; China University of Geosciences, Wuhan; National Natural Science Foundation of China","keywords":"Carbonate; Geology; Geochemistry; Salinity; Mineralogy; Oceanography; Chemistry","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":[0.0002137057,0.0005132518,0.0005449719,0.0004000251,0.0006218295,0.001209694,0.001733967,0.001324453,0.002611767],"category_scores_gemma":[0.000984511,0.0004739849,0.0006482283,0.0004619197,0.0004502087,0.001083507,0.000765915,0.0007007395,0.0004920766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369074,"about_ca_system_score_gemma":0.00191419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08079237,"about_ca_topic_score_gemma":0.04370082,"domain_scores_codex":[0.9999211,0.00001189182,0.000007345803,0.00002514327,0.00002052831,0.00001396501],"domain_scores_gemma":[0.9997749,0.000044948,0.00002142637,0.00002268818,0.0001057831,0.00003017096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001532215,0.0000157066,0.001570359,0.000009546496,0.00001836948,0.00003273564,0.0000143066,0.993075,0.001112569,0.001159363,0.0002774199,0.002699362],"study_design_scores_gemma":[0.000007086369,0.000002883696,0.0002529447,0.000001689089,0.000004194665,0.00000454784,0.000002871484,0.9989454,0.0001589692,0.0003208695,0.0002945714,0.000003859136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5248739,0.0005282403,0.4344038,0.001378401,0.0004342699,0.000174727,0.003168494,0.00263197,0.03240618],"genre_scores_gemma":[0.967703,0.0002006567,0.02380687,0.0001139273,0.00006712652,0.00008427054,0.000651914,0.000183008,0.007189166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08079237,"threshold_uncertainty_score":0.1606442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08184584267265922,"score_gpt":0.346476761800628,"score_spread":0.2646309191279688,"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."}}