{"id":"W4398463799","doi":"10.7910/dvn/itvlik/clrozc","title":"ch_geom.Rds","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":[0.001451371,0.002150477,0.001685218,0.005523866,0.0007995276,0.003790818,0.003362158,0.002426413,0.1730089],"category_scores_gemma":[0.01196466,0.0008371578,0.001492407,0.01068391,0.0006635933,0.001936986,0.003254313,0.001883589,0.1589196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885009,"about_ca_system_score_gemma":0.002882121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03072753,"about_ca_topic_score_gemma":0.03709327,"domain_scores_codex":[0.9987098,0.0002520806,0.0001769233,0.0003349812,0.0002752029,0.0002509209],"domain_scores_gemma":[0.9965556,0.0008477978,0.0004293977,0.0009680031,0.0007510181,0.000448209],"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":[0.00003347916,0.000005729362,0.0003628357,0.0004911017,0.00002238083,0.000008296613,0.00001136145,0.0001274142,0.00002764227,0.000677248,0.9971926,0.001039987],"study_design_scores_gemma":[0.0002415014,0.00001100965,0.002064495,0.0004915291,0.00002896896,0.00003082406,0.0000559051,0.0002813806,0.000159776,0.00219748,0.9944118,0.0000252853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002806928,0.00003954623,0.00002419439,0.00006538264,0.0000182924,0.000003847695,0.9991366,0.0001809278,0.0005031773],"genre_scores_gemma":[0.0003661006,0.0000839674,0.0001477386,0.00008234192,0.00001343695,0.00005538724,0.9984406,0.0001176354,0.0006928897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8269911,"threshold_uncertainty_score":0.5787725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166468072579935,"score_gpt":0.2817928994200105,"score_spread":0.2601282186942111,"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."}}