{"id":"W4398348032","doi":"10.7910/dvn/itvlik/a8827u","title":"1230C5EC","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 disaster; Natural (archaeology); Environmental 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":[0.001867873,0.003589451,0.001980606,0.006923003,0.00119141,0.00438956,0.003899269,0.003470799,0.2947589],"category_scores_gemma":[0.01390835,0.001036188,0.002071592,0.01044311,0.0008106001,0.001977565,0.003386079,0.002271669,0.2971725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001892473,"about_ca_system_score_gemma":0.003836174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03347418,"about_ca_topic_score_gemma":0.04070216,"domain_scores_codex":[0.9982929,0.0003800254,0.0001859042,0.0004688791,0.0003470819,0.0003252359],"domain_scores_gemma":[0.9953485,0.001324696,0.0004403946,0.001206752,0.000936928,0.0007426972],"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":[0.00003667392,0.000008627476,0.0002240514,0.0003451117,0.00002058606,0.000007332015,0.00001052281,0.0001364997,0.00002946672,0.0003719783,0.9979233,0.0008859517],"study_design_scores_gemma":[0.000411953,0.00002053588,0.001582002,0.0004509749,0.00004358134,0.00003730224,0.00006516437,0.0004648065,0.0001745203,0.002614342,0.9941007,0.00003395407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003503119,0.00004226862,0.00003519561,0.00006841925,0.00002876776,0.000006028509,0.9989371,0.0002823076,0.0005648253],"genre_scores_gemma":[0.0002463246,0.00006622206,0.000153047,0.00009647969,0.00001345027,0.00005118196,0.9983379,0.0001820889,0.0008533288],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7052411,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338222959957273,"score_gpt":0.2824102381648785,"score_spread":0.2590280085653058,"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."}}