{"id":"W950812148","doi":"","title":"Examination of Archival Data for Inhomogeneities and Determination of Climate Change in North America","year":2013,"lang":"en","type":"article","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Climate change; Geography; Remote sensing; Geology","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":[0.002518525,0.0001551458,0.0001938653,0.004035482,0.0009596057,0.001223697,0.0006881449,0.0004228188,0.001564025],"category_scores_gemma":[0.01654295,0.0002837354,0.0001968872,0.006347448,0.0007658971,0.001058523,0.001476509,0.000525399,0.0002254656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016271,"about_ca_system_score_gemma":0.001609318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1390992,"about_ca_topic_score_gemma":0.2412055,"domain_scores_codex":[0.9991714,0.0001977493,0.0001128684,0.0001413146,0.0002884178,0.00008825437],"domain_scores_gemma":[0.9838626,0.005968825,0.002485436,0.003718935,0.003624709,0.0003395458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001679012,0.00008544174,0.9497164,0.000114179,0.00013849,0.0001867031,0.006032787,0.002094564,0.001517844,0.002690257,0.004631124,0.03262417],"study_design_scores_gemma":[0.000004058028,0.00000612789,0.9887001,0.00002584176,0.00002513254,0.00004957769,0.002049132,0.0008394497,0.0003603789,0.0003947337,0.00753457,0.0000109233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868644,0.0004330256,0.0005850907,0.0004727687,0.0000248031,0.00001969006,0.007568326,0.00003279831,0.003999076],"genre_scores_gemma":[0.9889017,0.0003869373,0.00090019,0.0000764279,0.00002326344,0.00003876592,0.008549265,0.00002638252,0.001097152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8609008,"threshold_uncertainty_score":0.2765791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05549468543124688,"score_gpt":0.2728823508015143,"score_spread":0.2173876653702674,"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."}}