{"id":"W31061859","doi":"10.1016/j.dib.2019.103913","title":"World strength map: preliminary results","year":2010,"lang":"en","type":"article","venue":"EGUGA","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Water Consortium","keywords":"Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007579494,0.00007078339,0.0000508049,0.00006163409,0.00003058767,0.00001691771,0.00006768302,0.00004134346,0.000183577],"category_scores_gemma":[0.00002140764,0.00006639513,0.00002279003,0.0001032178,0.00002092749,0.00007843062,0.00001227995,0.0001855226,0.0003624305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009805136,"about_ca_system_score_gemma":0.000004957162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005669493,"about_ca_topic_score_gemma":0.00007605005,"domain_scores_codex":[0.9995936,0.000004359594,0.0001049298,0.0001116505,0.0000684675,0.0001169819],"domain_scores_gemma":[0.9997279,0.0000107943,0.00001231962,0.0001857734,0.00001539167,0.00004780982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001541193,0.0001288583,0.001131344,0.00003044445,0.00004564456,0.00002050591,0.000486372,0.001970048,0.02307856,0.04799812,0.8413457,0.08361026],"study_design_scores_gemma":[0.0002259522,0.00003391751,0.005642372,0.000008965872,0.00000546005,0.000005041646,0.00002093086,0.0003230568,0.01316733,0.0001282138,0.9803162,0.0001225151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7085833,0.0002751951,0.0002676503,0.00485826,0.01485907,0.0003500231,0.00005093004,0.002740876,0.2680147],"genre_scores_gemma":[0.9834377,0.000009263932,0.0011031,0.00003203701,0.0005193937,0.000004372796,0.00003104077,0.0000129907,0.01485008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2748544,"threshold_uncertainty_score":0.4658432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005829954975691148,"score_gpt":0.196073139438685,"score_spread":0.1902431844629938,"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."}}