{"id":"W4206644229","doi":"10.35502/jcswb.235","title":"Thank you to our reviewers","year":2021,"lang":"en","type":"article","venue":"Journal of Community Safety and Well-Being","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychology; Data science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002719643,0.00008868851,0.0002944176,0.00005848196,0.001423049,0.00009263057,0.0002288189,0.00003997871,0.00004337008],"category_scores_gemma":[0.0009673857,0.00007718866,0.0001187875,0.0002440741,0.00005810138,0.0002898846,0.0001548079,0.0004834862,0.00001569456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003825215,"about_ca_system_score_gemma":0.0001327302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003591837,"about_ca_topic_score_gemma":0.001086671,"domain_scores_codex":[0.9980353,0.001052397,0.0003499184,0.0000429662,0.000303611,0.0002157676],"domain_scores_gemma":[0.9988525,0.000306551,0.0001668185,0.0001727455,0.0002814009,0.0002199729],"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":[0.0003442317,0.0003199999,0.04856827,0.0001769814,0.0003198184,0.0001231902,0.7392268,0.00006155387,0.0001825626,0.02114028,0.01426925,0.1752671],"study_design_scores_gemma":[0.0004941762,0.0001618123,0.05457991,0.000533862,0.00008550005,0.00005574683,0.3000157,6.825063e-7,0.0001560091,0.00824278,0.6354811,0.0001927393],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6849345,0.003257103,0.0004828694,0.05350406,0.0006330864,0.00009616753,0.000001454077,0.0000152339,0.2570755],"genre_scores_gemma":[0.9860671,0.009151476,0.0003170312,0.002956343,0.0002833689,2.55173e-7,5.954135e-7,0.000005349805,0.001218498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6212118,"threshold_uncertainty_score":0.999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03092743212079681,"score_gpt":0.3353565924173157,"score_spread":0.304429160296519,"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."}}