{"id":"W3096220429","doi":"10.1130/abs/2020am-355699","title":"SEASONAL, INTERANNUAL, AND SPATIAL PATTERNS OF GROUNDWATER TEMPERATURES IN NOVA SCOTIA, CANADA","year":2020,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Nova (rocket); Environmental science; Groundwater; Climatology; Meteorology; Physical geography; Geography; Oceanography; Geology; Engineering; Aeronautics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002544932,0.0001953475,0.0002455122,0.001393894,0.001125585,0.0007754882,0.0005930249,0.0002706729,0.001798141],"category_scores_gemma":[0.001024485,0.0002170855,0.0003009467,0.002562012,0.0004590965,0.000206072,0.0005507211,0.0002788024,0.0002493592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01413372,"about_ca_system_score_gemma":0.01759539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964061,"about_ca_topic_score_gemma":0.9988118,"domain_scores_codex":[0.9997782,0.0000156949,0.00002412891,0.00004168633,0.0000511693,0.00008920937],"domain_scores_gemma":[0.9984329,0.00011492,0.0002047198,0.00003853959,0.0009153606,0.0002935041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002605947,0.00003309878,0.9855244,0.00009361871,0.000108495,0.0002349661,0.001062721,0.000718419,0.001348031,0.0001880299,0.003905062,0.006522564],"study_design_scores_gemma":[0.000005961866,0.000005067338,0.9981523,0.00001573525,0.000008424716,0.00002068161,0.0006986653,0.000225554,0.00004416724,0.000007521019,0.0008112772,0.000004573978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867762,0.0004266872,0.0000659194,0.0002395337,0.00002025508,0.00002766876,0.009568526,0.00001949685,0.002855635],"genre_scores_gemma":[0.9937407,0.0002970679,0.0001267456,0.00005908214,0.000004091226,0.00001503765,0.002739835,0.000006278423,0.003011082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01413372,"threshold_uncertainty_score":0.1025478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998972225850335,"score_gpt":0.2354883070573894,"score_spread":0.215498584798886,"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."}}