{"id":"W6926227009","doi":"10.18739/a2b56d65b","title":"Bias-Corrected Gridded Soil Temperatures (North of 30°N) Between 1982-2023 at 0.05° Resolution","year":2025,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Permafrost; Moderate-resolution imaging spectroradiometer; Mean squared error; Soil water; Snowmelt; Snow; Linear regression; Vegetation (pathology)","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":[0.0002306388,0.000252261,0.0002088849,0.0003705535,0.0001586005,0.0002457574,0.0002923498,0.0001857384,0.002008004],"category_scores_gemma":[0.0007130869,0.0001201369,0.0002422774,0.00144883,0.0000815138,0.0002326187,0.0001465652,0.000183086,0.0009515194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006664362,"about_ca_system_score_gemma":0.00054045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07100994,"about_ca_topic_score_gemma":0.1402502,"domain_scores_codex":[0.9998809,0.00001599777,0.000009762766,0.00004738329,0.00003236129,0.00001366639],"domain_scores_gemma":[0.9996922,0.00002760016,0.0000490055,0.00003721879,0.0001817503,0.0000122672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004844427,0.0001904089,0.6950023,0.000502807,0.0003636734,0.000285782,0.0004124907,0.1404289,0.0078357,0.001616908,0.04193985,0.1109367],"study_design_scores_gemma":[0.00004663959,0.00005099536,0.893218,0.00005027677,0.00008278708,0.0001189049,0.0001660144,0.07015749,0.004209418,0.0005086151,0.03136015,0.00003070832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8528546,0.0005716865,0.007569951,0.000225607,0.0001831218,0.00005865827,0.1269799,0.0009038296,0.01065273],"genre_scores_gemma":[0.9134689,0.0002600186,0.009031848,0.00007224161,0.00003592247,0.0000903264,0.07297203,0.00008892755,0.003979776],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.07100994,"threshold_uncertainty_score":0.1411932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1790492808892814,"score_gpt":0.3526012358200273,"score_spread":0.1735519549307459,"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."}}