{"id":"W6927071565","doi":"10.25573/serc.12252005","title":"Dataset: Carbon data for intertidal soils and sediments, Skeena River estuary, British Columbia","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transect; Soil water; Hydrology (agriculture); Estuary; Vegetation (pathology); Intertidal zone; Salt marsh; Sampling (signal processing)","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":[0.0007077769,0.00188354,0.001375654,0.004250028,0.00156735,0.002471855,0.002423491,0.001244755,0.03309588],"category_scores_gemma":[0.003737549,0.000700628,0.0006966853,0.01166574,0.0004426856,0.0007727952,0.001451403,0.001245305,0.02931467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004851907,"about_ca_system_score_gemma":0.01162881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7627616,"about_ca_topic_score_gemma":0.8578739,"domain_scores_codex":[0.9994988,0.0000359224,0.000054132,0.000137054,0.0001665077,0.0001076109],"domain_scores_gemma":[0.9973485,0.0002472961,0.0002003305,0.0003010763,0.001583305,0.0003193762],"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":[0.00006764234,0.00002044071,0.006002675,0.0008635999,0.00008213882,0.00005166813,0.00005129441,0.0005468858,0.0001449192,0.00049848,0.987887,0.003783198],"study_design_scores_gemma":[0.0002524831,0.00001116879,0.04209517,0.0006600303,0.00008905218,0.0000602108,0.0001602455,0.001016558,0.0005188325,0.001127714,0.9539358,0.00007269122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001868763,0.00005068666,0.0000194849,0.000022466,0.000005255233,0.000002854925,0.9992994,0.00009742319,0.0003154585],"genre_scores_gemma":[0.00093805,0.00007895211,0.0001652886,0.00001974697,0.000002857344,0.00002880834,0.9981608,0.00004108391,0.0005644068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2372384,"threshold_uncertainty_score":0.4772711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04480661113016093,"score_gpt":0.2744086205681833,"score_spread":0.2296020094380224,"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."}}