{"id":"W6984226599","doi":"","title":"GSI Extra 050615","year":2015,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"League; EPIC; Curling; Football; Adventure; Incentive","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":["insufficient_payload"],"category_scores_codex":[0.0006657724,0.001369591,0.0009378671,0.001618504,0.002025586,0.005981248,0.001506367,0.00272288,0.9665576],"category_scores_gemma":[0.002203532,0.0006344102,0.0007873846,0.001673422,0.0005779625,0.002428303,0.003592951,0.001962977,0.9580072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648838,"about_ca_system_score_gemma":0.001610449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006185628,"about_ca_topic_score_gemma":0.01174848,"domain_scores_codex":[0.9994307,0.00004447593,0.00002629157,0.0001277383,0.0002617433,0.0001089523],"domain_scores_gemma":[0.9981667,0.0001123987,0.00004266099,0.0003236414,0.0007175738,0.0006368714],"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":[0.00004773672,0.00004611863,0.00007159935,0.00006646291,0.000002162744,0.00003305318,0.00001657306,0.00002951733,0.0002665544,0.001091973,0.957634,0.04069425],"study_design_scores_gemma":[0.00001349509,0.00001682058,0.0002818031,0.00003211484,0.000001454481,0.00002178069,0.00002847579,0.00002981972,0.00009095001,0.0002834415,0.9991946,0.000005253734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001386647,0.00007973654,0.0002081682,0.0003757592,0.001073534,0.00008558709,0.003023472,0.001872757,0.9931422],"genre_scores_gemma":[0.0005162018,0.00005703934,0.0001170674,0.0003069364,0.00008970614,0.0000269707,0.002154836,0.0004423946,0.9962889],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03344244,"threshold_uncertainty_score":0.0477016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006139376731138992,"score_gpt":0.1708277535260439,"score_spread":0.1646883767949049,"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."}}