{"id":"W4398689425","doi":"10.7910/dvn/itvlik/5x4bc9","title":"source-pane.pper","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); Computer science; Natural disaster; History; Geography; Archaeology; Meteorology","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":[0.001436664,0.002193986,0.001544448,0.004966532,0.0007065244,0.003531553,0.002972062,0.002331847,0.1739027],"category_scores_gemma":[0.01026338,0.0009030186,0.001540979,0.00956621,0.000561318,0.002234557,0.003121392,0.001956846,0.1657854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627219,"about_ca_system_score_gemma":0.002475885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02304892,"about_ca_topic_score_gemma":0.02885891,"domain_scores_codex":[0.99879,0.0002273487,0.0001759456,0.0003261808,0.0002487215,0.000231858],"domain_scores_gemma":[0.9968533,0.0008573756,0.0003484744,0.0008826766,0.0006717957,0.0003864735],"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":[0.00003060975,0.000008388375,0.000397268,0.0005377558,0.00002789831,0.000009007398,0.00001391456,0.0001535448,0.00003371429,0.000577283,0.9971914,0.001019211],"study_design_scores_gemma":[0.0002327915,0.0000114059,0.002247812,0.0004358368,0.00002748595,0.00003078627,0.00005683291,0.0002564428,0.0001636581,0.001836665,0.994675,0.00002529113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003145979,0.00003475105,0.00002857374,0.00006053436,0.00002011952,0.000004769153,0.9990944,0.0002282197,0.0004972831],"genre_scores_gemma":[0.0003166488,0.00007309941,0.0001510352,0.0000717742,0.00001159454,0.00006304383,0.9985259,0.0001407504,0.0006461921],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8260973,"threshold_uncertainty_score":0.5817624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131668693063633,"score_gpt":0.2722039392194231,"score_spread":0.2508872522887868,"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."}}