{"id":"W7017502786","doi":"","title":"Calgary Author Dan Kostka on his Humanitarian Efforts","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Humanitarian aid; Government (linguistics); Refugee; State (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003590393,0.0006226894,0.0003889661,0.001229689,0.004855472,0.003960616,0.000647501,0.001847175,0.3803712],"category_scores_gemma":[0.001434298,0.0003984833,0.0001585009,0.001747622,0.000939395,0.002636572,0.002127872,0.002513685,0.1561507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003366374,"about_ca_system_score_gemma":0.002736095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06933127,"about_ca_topic_score_gemma":0.2180824,"domain_scores_codex":[0.9995936,0.00004948572,0.00001133126,0.00005517531,0.0001952612,0.00009515708],"domain_scores_gemma":[0.999105,0.0001545711,0.00003120732,0.00004568533,0.0004147131,0.0002487684],"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":[0.000002566211,0.000002740945,0.00001801193,0.00001434016,2.14974e-7,0.00001911723,0.00009668164,0.000009312545,0.00001821696,0.001405205,0.9896713,0.008742217],"study_design_scores_gemma":[7.013065e-7,0.000001696739,0.0001258854,0.00004662366,2.980657e-7,0.00001757916,0.000196885,0.00000421979,0.00002002728,0.0002520386,0.9993324,0.000001469584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003979129,0.009932351,0.0001229758,0.0119528,0.004616286,0.0000256815,0.0003270313,0.0001487826,0.9724762],"genre_scores_gemma":[0.0008090608,0.001939087,0.00003698092,0.001162264,0.0001730744,0.000004656575,0.00005735795,0.00005987375,0.9957576],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9306687,"threshold_uncertainty_score":0.8838252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061897021042187,"score_gpt":0.2075659492736184,"score_spread":0.1969469790631965,"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."}}