{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008872063,0.0001680355,0.0001989255,0.0006095064,0.0001352661,0.0003510811,0.0003282846,0.0001434585,0.00006262909],"category_scores_gemma":[0.00009731451,0.0001596543,0.0002025521,0.0009437127,0.0000364812,0.0001629045,0.00004654403,0.0004533949,0.0001968646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001217434,"about_ca_system_score_gemma":0.0003320694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005321097,"about_ca_topic_score_gemma":0.0008582807,"domain_scores_codex":[0.9981378,0.00009924072,0.000270794,0.0003509318,0.0005658996,0.0005753761],"domain_scores_gemma":[0.998907,0.0002501957,0.000008106803,0.0003551292,0.0001297102,0.0003498622],"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":[0.00006798598,0.00002897441,0.00003328511,0.0007332174,0.0002942989,0.00003110383,0.0007841347,0.9310524,0.01320923,0.001644333,0.0339259,0.01819509],"study_design_scores_gemma":[0.0003007041,0.00003130194,0.00002001819,0.00007464526,0.00002941384,0.000001197688,0.00002177219,0.981711,0.0056859,0.001300251,0.01064212,0.0001816316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01782376,0.003885772,0.953161,0.003527627,0.0004888757,0.00123479,0.00009609137,0.001537141,0.01824494],"genre_scores_gemma":[0.9854843,0.00008311497,0.005933567,0.00004633912,0.0003002932,0.0002409896,0.00006626159,0.00009843203,0.007746681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9676605,"threshold_uncertainty_score":0.6510513,"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."}}