{"id":"W6931831467","doi":"10.5683/sp3/l4mygr","title":"20 Year DIRT Raw Data","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Raw data; Raw material; Dirt; Organic matter; Soil organic matter","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":[0.001454043,0.002005229,0.001486046,0.003010931,0.001081591,0.002522174,0.00265228,0.001903544,0.05617282],"category_scores_gemma":[0.006023222,0.000743101,0.00167938,0.005643618,0.0005667118,0.001716635,0.00166398,0.002038022,0.1049483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447434,"about_ca_system_score_gemma":0.00273198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03864991,"about_ca_topic_score_gemma":0.06254309,"domain_scores_codex":[0.9985664,0.0001641516,0.0001220162,0.000535541,0.0003745061,0.0002373191],"domain_scores_gemma":[0.9973363,0.000350995,0.000219198,0.0008239622,0.001052795,0.0002166598],"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":[0.00009860107,0.00002827205,0.001530034,0.0003755036,0.00005851896,0.0000241084,0.0000176963,0.0004804058,0.0003267794,0.000457795,0.9937216,0.002880717],"study_design_scores_gemma":[0.0002209859,0.00002532078,0.008868114,0.00017859,0.00005234039,0.00004675415,0.00008385471,0.0005317977,0.0008903001,0.001432039,0.9876281,0.00004185914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001581123,0.00003654363,0.00006594247,0.00003493161,0.00003173897,0.00000732277,0.9987555,0.0003665686,0.0005433143],"genre_scores_gemma":[0.0004396637,0.00002378464,0.0002132644,0.00003072184,0.000006674471,0.00003083273,0.9986034,0.00009027636,0.0005614533],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05617282,"threshold_uncertainty_score":0.1879168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05428923001796915,"score_gpt":0.3143514737695837,"score_spread":0.2600622437516146,"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."}}