{"id":"W6908093680","doi":"10.25384/sage.20027192","title":"sj-docx-1-hol-10.1177_09596836221095978 – Supplemental material for Climate-driven Holocene ecohydrological and carbon dynamics from maritime peatlands of the Gulf of St. Lawrence, eastern Canada","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holocene; Peat; Carbon fibers; Carbon cycle; Climate change; Radiocarbon dating","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001011179,0.001485124,0.001215471,0.004499093,0.002070612,0.003959864,0.00278662,0.0009870088,0.879509],"category_scores_gemma":[0.00771773,0.001472511,0.0007602688,0.01097236,0.0006035026,0.003051313,0.00234417,0.001782607,0.6404842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004269167,"about_ca_system_score_gemma":0.00896577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4074494,"about_ca_topic_score_gemma":0.5622307,"domain_scores_codex":[0.999022,0.00003182374,0.00008407891,0.0001353769,0.0004867133,0.0002399728],"domain_scores_gemma":[0.992705,0.001440538,0.0003269532,0.0006536652,0.004074735,0.0007989333],"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":[0.00002537632,0.00002146846,0.0005256669,0.0002527118,0.000006712759,0.0000074008,0.00003619178,0.00006160318,0.00007750172,0.0001650477,0.9952188,0.003601478],"study_design_scores_gemma":[0.0002504749,0.00001805822,0.01479569,0.0003342025,0.00002265321,0.000036965,0.0003546958,0.0001768163,0.0006130082,0.0009440446,0.9823981,0.00005527553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001023734,0.00001182721,0.00009040642,0.00005397704,0.00004820863,0.0000278737,0.992417,0.0005949622,0.006653421],"genre_scores_gemma":[0.001475995,0.00009880308,0.0006483343,0.0001375639,0.0000425754,0.0001466373,0.9677037,0.002063346,0.02768308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.879509,"threshold_uncertainty_score":0.8101556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475569198711177,"score_gpt":0.235628682506879,"score_spread":0.2208729905197673,"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."}}