{"id":"W4398754538","doi":"10.7910/dvn/itvlik/fe7fqw","title":"2B5213ED","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Natural (archaeology); Natural disaster; History; Geography; Meteorology; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002574458,0.0001851849,0.0002212876,0.00008788504,0.000332655,0.0002602671,0.001355882,0.0001765118,0.04182314],"category_scores_gemma":[0.0003116668,0.0001815697,0.00009136389,0.00026082,0.0003219399,0.0003235442,0.0005028882,0.0002460467,0.4903793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005345953,"about_ca_system_score_gemma":0.000176761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00165908,"about_ca_topic_score_gemma":0.001969446,"domain_scores_codex":[0.9982647,0.0001524382,0.0001859538,0.0004151547,0.0006222224,0.0003595698],"domain_scores_gemma":[0.9989593,0.00004860561,0.000126708,0.0006120688,0.00003115101,0.0002221607],"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":[0.000009727779,0.0000290494,0.000002352187,0.00004774275,0.00002718905,0.00008674771,0.000331373,3.80941e-7,6.398305e-7,0.0005322602,0.9985151,0.0004174783],"study_design_scores_gemma":[0.0001288677,0.00001530789,0.000008713528,0.00003165331,0.00007472277,1.884714e-7,0.001222852,0.000001421461,3.885798e-7,0.00005013314,0.9982375,0.0002282458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001435044,5.152284e-7,0.000008488159,0.00007161374,0.001025817,0.0002673212,0.9748835,0.0000804501,0.02366086],"genre_scores_gemma":[0.000006437705,0.0006739596,0.00005194184,0.001067542,0.0007118476,0.00001209662,0.9916112,0.000009184475,0.005855799],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4485562,"threshold_uncertainty_score":0.9590527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363104902102601,"score_gpt":0.2830597278487417,"score_spread":0.2594286788277156,"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."}}