{"id":"W7031515736","doi":"","title":"Michael Peck","year":2018,"lang":"en","type":"article","venue":"Scholarly Commons (Embry–Riddle Aeronautical University)","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peck (Imperial); Duty; Supreme court; Strategic studies; Aviation; Active duty","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":[0.0006649668,0.0007927869,0.000402115,0.001010384,0.002495884,0.004766781,0.0008549323,0.002128965,0.2616405],"category_scores_gemma":[0.004281096,0.0002855677,0.0002650359,0.0008568545,0.0008275164,0.00398984,0.002530199,0.003341763,0.1514106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172277,"about_ca_system_score_gemma":0.003218495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003520364,"about_ca_topic_score_gemma":0.004999696,"domain_scores_codex":[0.998589,0.0001508553,0.00006545059,0.0003377825,0.0006791304,0.0001777361],"domain_scores_gemma":[0.9984007,0.0001618226,0.00008928565,0.0001128771,0.0006794574,0.0005558057],"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":[0.00001297468,0.00001651476,0.0001966609,0.00005618428,0.000001741224,0.0001223065,0.0001209543,0.00003376032,0.0001138247,0.008658762,0.9287248,0.06194158],"study_design_scores_gemma":[0.000001102207,0.000003900861,0.000110745,0.00003638905,8.713266e-7,0.0001819686,0.0001014768,0.0000205852,0.0000737424,0.0008953348,0.9985707,0.000003287061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002036876,0.01952249,0.002609625,0.09703417,0.02755623,0.00008476459,0.000902249,0.0008968573,0.8493567],"genre_scores_gemma":[0.01068741,0.009049864,0.001067786,0.0141931,0.002880626,0.00004927691,0.0004236082,0.0002588148,0.9613895],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7383595,"threshold_uncertainty_score":0.8752748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077071226529021,"score_gpt":0.2516327062842044,"score_spread":0.2208619940189142,"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."}}