{"id":"W2785295808","doi":"","title":"The Importance of Soil Moisture to Influence and Predict Summer Extreme Heat Events in North America","year":2018,"lang":"en","type":"article","venue":"98th American Meteorological Society Annual Meeting","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Environmental science; Moisture; Extreme heat; Water content; Climatology; Climate change; Meteorology; Geography; Geology; Oceanography; 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":[0.0004900764,0.0001949304,0.0001549571,0.0004192169,0.0004132194,0.0006784394,0.0002227644,0.0003355172,0.0009339209],"category_scores_gemma":[0.001581759,0.000175764,0.0002246176,0.0004201613,0.0002695043,0.00048099,0.0003915995,0.0003491931,0.0001242006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005077946,"about_ca_system_score_gemma":0.0005518234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1067708,"about_ca_topic_score_gemma":0.22199,"domain_scores_codex":[0.9998705,0.0000430427,0.000009621726,0.00002576593,0.00002024537,0.00003067703],"domain_scores_gemma":[0.9992657,0.0003010036,0.0001022754,0.00003871181,0.0001492694,0.000143005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003676107,0.00002631746,0.9954602,0.000004941002,0.00004696067,0.00002439875,0.00007642975,0.001200517,0.0002456097,0.00002618578,0.0002453435,0.002606423],"study_design_scores_gemma":[0.000002600212,0.000007297149,0.9961213,0.000003820161,0.00001525294,0.00001041158,0.0001607578,0.003342654,0.00005366572,0.00004443096,0.0002356435,0.000002141735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985057,0.0001812189,0.0001221108,0.0001593544,0.00001307374,0.000002987997,0.0002285451,0.000009806295,0.0007772046],"genre_scores_gemma":[0.9996165,0.00004999823,0.00005021892,0.00001407448,0.00001004809,0.000001438569,0.0001136002,0.000001957109,0.0001421443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1067708,"threshold_uncertainty_score":0.2122987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008348793749773322,"score_gpt":0.2293218089076168,"score_spread":0.2209730151578435,"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."}}