{"id":"W3048555423","doi":"","title":"Regional Geophysical Reconnaissance for Low Enthalpy Geothermal Resources in NE Alberta, Canada","year":2011,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geothermal gradient; Geology; Geophysics; Geography; Meteorology","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":[0.0002434015,0.0003113274,0.0002396114,0.001835385,0.002630958,0.0009583384,0.0007750792,0.0003345958,0.003256298],"category_scores_gemma":[0.0006270524,0.0001858669,0.0001881704,0.002737042,0.0004204387,0.0002365908,0.000578289,0.0003183496,0.0004794252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0158912,"about_ca_system_score_gemma":0.03108153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967803,"about_ca_topic_score_gemma":0.9992694,"domain_scores_codex":[0.9996864,0.00001365765,0.00001110412,0.00004044224,0.0001580733,0.00009047196],"domain_scores_gemma":[0.9993506,0.00002578103,0.00004037028,0.00001678545,0.0004633526,0.0001031284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000439761,0.0001654977,0.7986957,0.0004480325,0.0001588122,0.00145377,0.004329161,0.01005625,0.008775419,0.001448651,0.0400732,0.1339558],"study_design_scores_gemma":[0.00001764349,0.00002131246,0.9673154,0.00007819003,0.00003242072,0.0001432386,0.004873834,0.003267747,0.0009076454,0.00009473255,0.02322131,0.00002658456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414847,0.001638999,0.001292591,0.0008875057,0.00006609222,0.0002262639,0.01754714,0.0002526863,0.03660386],"genre_scores_gemma":[0.9604817,0.0008703919,0.003123438,0.0001402862,0.00001265829,0.00004368376,0.005719804,0.00003802023,0.02956989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0158912,"threshold_uncertainty_score":0.1152993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505378573671503,"score_gpt":0.2110264434048887,"score_spread":0.1859726576681736,"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."}}