{"id":"W6976339158","doi":"10.60692/xj5nh-emk60","title":"Three Ways Forward to Improve Regional Information for Extreme Events: An Early Career Perspective","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Child Welfare and Adoption","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; University of Calgary; University of Saskatchewan","funders":"","keywords":"Perspective (graphical); Field (mathematics); Earth system science; Energy (signal processing); Interdisciplinarity; Information system","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005805881,0.0001525756,0.0001799457,0.0002489492,0.0003730194,0.0002868461,0.0002349853,0.0001455997,0.00003344603],"category_scores_gemma":[0.00004466994,0.0001382368,0.0001144618,0.0002318793,0.00002035224,0.004832857,0.0000346811,0.00007341563,0.001168511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005012859,"about_ca_system_score_gemma":0.0001045766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006603938,"about_ca_topic_score_gemma":0.00003942772,"domain_scores_codex":[0.9985029,0.00002756151,0.0004530925,0.0001486132,0.0005444918,0.0003233314],"domain_scores_gemma":[0.9984554,0.00001107699,0.0002725123,0.0002755462,0.0008122865,0.000173168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003103724,0.000005878171,0.06419946,0.0001910144,0.00006263094,1.539043e-7,0.7968518,0.0001725434,0.000004918366,0.1335032,0.0008259426,0.003872114],"study_design_scores_gemma":[0.004246252,0.0008302434,0.2724684,0.0003274252,0.00008797693,0.000005584547,0.6672051,0.002935244,0.0001167651,0.0005845683,0.05007847,0.001114005],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7925023,0.000002011,0.1879794,0.0007936241,0.0009608156,0.002903024,0.0002525129,0.0002962694,0.01430998],"genre_scores_gemma":[0.998215,1.027468e-7,0.0006542563,0.0004779377,0.0002770931,0.0001569864,0.00006975805,0.00000807332,0.0001407975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2082689,"threshold_uncertainty_score":0.9996092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05836016243102835,"score_gpt":0.2490272256203885,"score_spread":0.1906670631893602,"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."}}