{"id":"W6950605587","doi":"10.5683/sp2/j016lt","title":"Atmospheric pressure influencing ebullition and turbidity","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Turbidity; Atmospheric pressure; Low-pressure area; Turbidite; Sediment; Hydrology (agriculture); Atmospheric temperature; Air temperature","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008229202,0.001914782,0.001084689,0.001908855,0.000865026,0.001593201,0.001922787,0.001492788,0.01080303],"category_scores_gemma":[0.002763004,0.000387983,0.001501067,0.002937283,0.0004159136,0.0006825682,0.001113549,0.001048943,0.01221356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134025,"about_ca_system_score_gemma":0.001609061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09067789,"about_ca_topic_score_gemma":0.1772203,"domain_scores_codex":[0.9991884,0.0001076632,0.00008498969,0.0002781153,0.0002029781,0.000137899],"domain_scores_gemma":[0.9988374,0.0002362306,0.0001624634,0.0002374059,0.0003865997,0.00013997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000370309,0.0001829532,0.05434483,0.001626854,0.0002980649,0.0001167217,0.0000935489,0.002713142,0.0006284899,0.0004615176,0.9280552,0.01110845],"study_design_scores_gemma":[0.0008196168,0.0001489716,0.2854519,0.0007232372,0.0002788138,0.0003419478,0.0004434757,0.009642178,0.001540184,0.001382053,0.699033,0.0001947435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002677472,0.0001728588,0.00006196624,0.00008572137,0.00003920776,0.00001224991,0.9961396,0.0002446758,0.000566296],"genre_scores_gemma":[0.003586617,0.0000484036,0.0002942421,0.00003104567,0.00001063892,0.00003823826,0.9955655,0.00001669211,0.0004086491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09067789,"threshold_uncertainty_score":0.1803002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490345422929921,"score_gpt":0.2542714205570725,"score_spread":0.2393679663277733,"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."}}