{"id":"W2943680400","doi":"10.1016/j.geoderma.2019.04.034","title":"Projections of future soil temperature in northeast Iran","year":2019,"lang":"en","type":"article","venue":"Geoderma","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Environmental science; Physical geography; Hydrology (agriculture); Soil science; Geography; Geology; Geotechnical engineering","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":[0.000244863,0.0003730262,0.0002089777,0.0005227575,0.0003327032,0.0004995422,0.0004118132,0.0004052296,0.00164042],"category_scores_gemma":[0.0004454245,0.0001688906,0.0006222646,0.0008690354,0.0001913359,0.0005496421,0.0003992658,0.000470116,0.0003004582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002634564,"about_ca_system_score_gemma":0.00229031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1280419,"about_ca_topic_score_gemma":0.133308,"domain_scores_codex":[0.9998938,0.0000167862,0.000007305209,0.00001915911,0.00002471839,0.00003827346],"domain_scores_gemma":[0.9998378,0.00001310871,0.00003562067,0.000006904032,0.00008009333,0.00002643932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009276622,0.0001474617,0.6326762,0.0003622323,0.000361868,0.001622617,0.0009300583,0.29944,0.00421585,0.01052708,0.01392557,0.03486338],"study_design_scores_gemma":[0.0001391028,0.0002283831,0.735979,0.0001059636,0.0002385158,0.0006812462,0.003052999,0.2204906,0.002201152,0.00476717,0.0320188,0.00009697823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807367,0.0008057316,0.002197739,0.00199391,0.0001137503,0.00002025351,0.006659164,0.0001226632,0.007350108],"genre_scores_gemma":[0.9959721,0.0005668565,0.0005417826,0.00003783298,0.00001835764,0.0000144549,0.001713691,0.00000535431,0.001129433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1280419,"threshold_uncertainty_score":0.2545931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666184228365698,"score_gpt":0.2155071490973796,"score_spread":0.1988453068137226,"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."}}