{"id":"W4234101293","doi":"10.1149/2.010204if","title":"Student News - Winter 2020","year":2020,"lang":"en","type":"article","venue":"The Electrochemical Society Interface","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001849254,0.0001443088,0.0001767554,0.000002282563,0.0004256626,0.0001064275,0.0005657637,0.00007892493,0.000408487],"category_scores_gemma":[0.0001655664,0.00009948049,0.0002430676,0.0002396153,0.0003341576,0.0001007024,0.0001888423,0.0003592905,0.0002952697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008010424,"about_ca_system_score_gemma":0.00004985219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008955728,"about_ca_topic_score_gemma":0.00006371988,"domain_scores_codex":[0.9986445,0.00009360844,0.0001759052,0.0002308772,0.0003655699,0.0004894914],"domain_scores_gemma":[0.9994037,0.0001532589,0.00005487433,0.0001394256,0.0000514851,0.0001972401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009850859,0.0001144437,0.002950942,0.00001607147,0.0003485346,0.000001673092,0.5295442,0.000002797838,0.1247731,0.0007510841,0.3399093,0.001489262],"study_design_scores_gemma":[0.001061629,0.0005076586,0.001146112,0.00004144347,0.0001611834,0.000004105873,0.2710598,0.0001065985,0.1235754,0.001630205,0.5999106,0.0007953455],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7036192,0.002298476,0.008155226,0.2430319,0.0001840305,0.0004655973,0.000003563945,0.0003085098,0.04193348],"genre_scores_gemma":[0.9844497,0.0003372279,0.0001387968,0.01319714,0.000738649,0.00001083727,0.000001191785,0.00001187686,0.00111452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2808305,"threshold_uncertainty_score":0.4472647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262547478838933,"score_gpt":0.3216879220264292,"score_spread":0.2990624472380398,"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."}}