{"id":"W4394226975","doi":"10.6084/m9.figshare.12253043","title":"Salish Sucker seasonal hypoxia data 2020 B.csv","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sucker; Hypoxia (environmental); Sucker rod; Geography; Biology; Zoology; Geology; Chemistry; Oxygen","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":[0.0006168337,0.001031463,0.0007390195,0.003076351,0.000490221,0.001458193,0.001548638,0.0008714604,0.1771023],"category_scores_gemma":[0.003319249,0.0005877799,0.0006167276,0.005321705,0.0002272508,0.00114006,0.001645238,0.0008545218,0.09522432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243502,"about_ca_system_score_gemma":0.002048501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08339484,"about_ca_topic_score_gemma":0.09723549,"domain_scores_codex":[0.9996229,0.00003503669,0.00005885542,0.00009381089,0.0001007436,0.00008864862],"domain_scores_gemma":[0.9986613,0.0002743448,0.0001674498,0.0002522812,0.0004526197,0.0001919679],"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":[0.00003327699,0.000006955036,0.001073309,0.0003072544,0.00001468851,0.00001139464,0.00002058448,0.0001763263,0.00005884881,0.0004562251,0.9957033,0.002137899],"study_design_scores_gemma":[0.0002115569,0.00001384534,0.01344137,0.0002646124,0.00002398456,0.00002959385,0.00008862188,0.0004615371,0.0003255971,0.001212606,0.9838932,0.00003349938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006974614,0.000008140656,0.00002046828,0.00002031417,0.000006549803,0.000004920255,0.9989312,0.0001703708,0.0007682834],"genre_scores_gemma":[0.0006294169,0.00002404918,0.0002471855,0.00004687713,0.000004915528,0.00006390271,0.9979564,0.0001315472,0.0008956587],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1771023,"threshold_uncertainty_score":0.5924663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08893995842752267,"score_gpt":0.2572842263916617,"score_spread":0.168344267964139,"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."}}