{"id":"W7051593339","doi":"","title":"Peat moisture and thermal regimes for peatlands undergoing active extraction in Canada","year":2022,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peat; Moisture; Extraction (chemistry); Hydrology (agriculture); Water content","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":[0.0001186045,0.0001483409,0.0002547287,0.0005017443,0.002609927,0.0009771517,0.0004741376,0.0002541193,0.002365446],"category_scores_gemma":[0.0003161963,0.0001261762,0.000209769,0.0008790687,0.0005120248,0.0002329676,0.000354655,0.0002803398,0.0002422287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01129704,"about_ca_system_score_gemma":0.01022881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9859487,"about_ca_topic_score_gemma":0.9962935,"domain_scores_codex":[0.9999039,0.00000336073,0.000002461301,0.00001506169,0.00002473666,0.00005033023],"domain_scores_gemma":[0.9997738,0.00001771504,0.00001603745,0.000003620938,0.0001214558,0.00006732703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001655918,0.0001633854,0.9154224,0.0001582103,0.0001362696,0.0008567933,0.01087487,0.00294667,0.028849,0.0008246826,0.005278027,0.03283365],"study_design_scores_gemma":[0.000004730235,0.00001640835,0.9918669,0.00001390793,0.00001029674,0.00002520996,0.004963722,0.0004364617,0.0007298513,0.00003007117,0.001893278,0.000009241102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963855,0.0001019675,0.00004348101,0.00006941338,0.000004779393,0.000009128938,0.000741843,0.00000716018,0.002636781],"genre_scores_gemma":[0.9972777,0.0001216799,0.00008035229,0.0000212393,0.00000159507,0.000005422944,0.0003618566,0.000006098505,0.002124169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01405132,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632838769785917,"score_gpt":0.3090643103554788,"score_spread":0.2927359226576196,"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."}}