{"id":"W4398473717","doi":"10.7910/dvn/itvlik/lqfikt","title":"CA40175B","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; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002151248,0.004183728,0.002957814,0.007722867,0.001527462,0.005644598,0.005456197,0.003992341,0.3165536],"category_scores_gemma":[0.01734845,0.001243367,0.002307329,0.01172494,0.0009876837,0.002199356,0.003933779,0.002548359,0.2969376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981533,"about_ca_system_score_gemma":0.0052515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04270316,"about_ca_topic_score_gemma":0.05430976,"domain_scores_codex":[0.9980633,0.0003911971,0.0002074773,0.0006063043,0.0003825748,0.0003492397],"domain_scores_gemma":[0.9940978,0.001567789,0.0006369264,0.001512978,0.001087814,0.001096661],"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":[0.00004291172,0.000007831226,0.0001926825,0.0003432709,0.00002497303,0.000005891025,0.000008475169,0.0001039391,0.0000222669,0.0002744176,0.9982597,0.0007136484],"study_design_scores_gemma":[0.0006745738,0.0000228591,0.001551353,0.0006018954,0.00008323594,0.00003580571,0.0000569668,0.0005196058,0.0001546365,0.002914638,0.9933389,0.00004556818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003180824,0.00005885844,0.00003059435,0.0000886694,0.00003384607,0.000007049046,0.9989927,0.0003083635,0.000448098],"genre_scores_gemma":[0.0002837281,0.00009456238,0.0001720695,0.0001361693,0.0000189813,0.00008580068,0.9980448,0.0001969055,0.0009669595],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6834464,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375296384994366,"score_gpt":0.2839264298963864,"score_spread":0.2601734660464428,"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."}}