{"id":"W6925114417","doi":"10.17605/osf.io/x7vqd","title":"Shea Creek MobileMT data","year":2020,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural basin; Uranium mine; Hydrology (agriculture); Line (geometry)","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":[0.0002150576,0.0004370852,0.0002675076,0.002190132,0.001187878,0.0009010951,0.0009898867,0.0004197891,0.05601158],"category_scores_gemma":[0.001031277,0.0002077428,0.0002203953,0.004296523,0.000167926,0.0003597672,0.0006521844,0.0003798802,0.01984471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004133931,"about_ca_system_score_gemma":0.008717089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.911103,"about_ca_topic_score_gemma":0.9452571,"domain_scores_codex":[0.9995478,0.00001348456,0.00001363513,0.0000530923,0.0002726583,0.00009946057],"domain_scores_gemma":[0.9989141,0.00002627348,0.0000450464,0.00006616701,0.0008402547,0.0001082232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001483014,0.00005121726,0.02563043,0.0002007874,0.00002680491,0.0001936011,0.0002903455,0.001000208,0.001686867,0.002197928,0.9285454,0.04002813],"study_design_scores_gemma":[0.00005077461,0.00001674902,0.08952776,0.00008285871,0.00001971554,0.00008334722,0.0005600051,0.001445066,0.001766067,0.0004377151,0.9059794,0.0000305389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.015464,0.00009442325,0.0005329874,0.0003224169,0.00004159355,0.0001318106,0.9168808,0.0008812768,0.06565062],"genre_scores_gemma":[0.05735163,0.0001672068,0.00296936,0.0001944153,0.00002582175,0.0001933064,0.8363919,0.0003658109,0.1023405],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.911103,"threshold_uncertainty_score":0.1873775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434729410849686,"score_gpt":0.2940200919511464,"score_spread":0.2596727978426496,"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."}}