{"id":"W4398281159","doi":"10.7910/dvn/itvlik/g2lfpl","title":"all data for CH.tab","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); Computer science; 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":[0.00145764,0.00187104,0.001448681,0.005276131,0.000821103,0.00343947,0.002506418,0.001935728,0.2696216],"category_scores_gemma":[0.01368679,0.0007341974,0.001262436,0.009815789,0.0005776965,0.002121709,0.002668828,0.001914306,0.2058194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001745967,"about_ca_system_score_gemma":0.002850429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02573934,"about_ca_topic_score_gemma":0.03302554,"domain_scores_codex":[0.9986707,0.0002506249,0.0001723119,0.0003796012,0.0002806715,0.0002460895],"domain_scores_gemma":[0.9956117,0.001358344,0.000445962,0.001102944,0.001005019,0.0004760724],"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":[0.00002495464,0.000005875559,0.0003043991,0.0002944583,0.00001371229,0.000005563891,0.000009047682,0.0001147193,0.00002198667,0.0004947165,0.9978441,0.0008664],"study_design_scores_gemma":[0.0001587935,0.000008115379,0.001749805,0.0003364367,0.00001768304,0.00001984155,0.00005226705,0.0001884858,0.0001447052,0.001887286,0.9954175,0.00001909103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002544548,0.00002687158,0.00002336677,0.00005800614,0.0000201259,0.000004952038,0.9989728,0.0001403621,0.0007281469],"genre_scores_gemma":[0.0003868532,0.00005208395,0.0001389676,0.0000786733,0.00001496697,0.00006186172,0.9979937,0.0001488693,0.00112413],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7303784,"threshold_uncertainty_score":0.9019743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07170401615844904,"score_gpt":0.3342087633838296,"score_spread":0.2625047472253805,"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."}}