{"id":"W4398557841","doi":"10.7910/dvn/itvlik/nxernt","title":"VEC200_HOHEITSGEBIET_LV95.zip","year":2020,"lang":"de","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); 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":[0.001028277,0.00207378,0.001329061,0.003938539,0.0006974503,0.003180763,0.002377616,0.002041662,0.170837],"category_scores_gemma":[0.006320046,0.000956947,0.001089359,0.007276377,0.0005103584,0.001621046,0.001906399,0.00148826,0.1509605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522303,"about_ca_system_score_gemma":0.001965691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072827,"about_ca_topic_score_gemma":0.02633861,"domain_scores_codex":[0.9990736,0.0001622498,0.0001106496,0.0002755793,0.0001924167,0.0001854259],"domain_scores_gemma":[0.9978659,0.0006902399,0.0002473475,0.0005888814,0.0003621826,0.0002455472],"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":[0.00004408484,0.000009865603,0.000496236,0.0004241764,0.00002353877,0.000009454022,0.00001357355,0.0002368788,0.00004638014,0.0006462572,0.9967444,0.00130521],"study_design_scores_gemma":[0.0002964614,0.00001588422,0.002965973,0.0003204796,0.00002689761,0.00003282371,0.00006377271,0.0005516656,0.0003314841,0.001843456,0.9935206,0.00003053875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004310209,0.00002561466,0.00002912722,0.00003883932,0.00001097634,0.00000326608,0.9991944,0.0002436768,0.0004109866],"genre_scores_gemma":[0.000457763,0.00005996918,0.0001439021,0.0000433931,0.000007843232,0.00004117535,0.9985486,0.0001297467,0.0005675719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.829163,"threshold_uncertainty_score":0.5715067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307344532130546,"score_gpt":0.2707134509964969,"score_spread":0.2476400056751915,"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."}}