{"id":"W6950628755","doi":"10.5683/sp3/dqo5gs","title":"Carbon emissions from extracted peatlands in Alberta, Canada","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Peat; Carbon dioxide; Water table; Methane; Table (database); Soil water; Carbon fibers","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001704935,0.0006081527,0.0007679852,0.0004129091,0.00007133794,0.00005941715,0.0009200605,0.0006216617,0.0001347143],"category_scores_gemma":[0.001501938,0.0005952205,0.00009253831,0.0007908352,0.00004274002,0.00004731686,0.0002142471,0.0009870586,0.000186025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133223,"about_ca_system_score_gemma":0.003028808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999977,"about_ca_topic_score_gemma":0.9999983,"domain_scores_codex":[0.9966944,0.000201795,0.000649385,0.0008163337,0.0008969879,0.0007410562],"domain_scores_gemma":[0.9964421,0.001033924,0.0003147922,0.00171282,0.00007595631,0.0004204556],"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":[0.00003768332,0.00005356892,0.0005145126,0.00002486794,0.00009196686,0.001144993,0.00003430426,0.000009874418,0.00002085689,6.498444e-7,0.9980462,0.00002057498],"study_design_scores_gemma":[0.0004660767,0.000009820038,0.05026286,0.0002798086,0.0001532931,0.000004263021,0.0000395406,0.00005818929,0.000008728854,0.00002082288,0.9480819,0.0006147334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004661673,0.00006839054,8.254825e-9,0.0002698172,0.0003872525,0.0003163408,0.9970698,0.0001025496,0.001319621],"genre_scores_gemma":[0.00008011701,0.00006737139,0.000003864935,0.0001068035,0.0004378687,0.000118481,0.9980581,0.0002158911,0.0009114782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04996428,"threshold_uncertainty_score":0.9996499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497472183451778,"score_gpt":0.2516732955708296,"score_spread":0.2366985737363118,"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."}}