{"id":"W6984193559","doi":"","title":"ESSU Mar 30 2014","year":2014,"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":"Front (military); Work (physics); Adversary; Staring; Selection (genetic algorithm)","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":[0.0007690163,0.0005758876,0.0003563533,0.0008487821,0.00213349,0.004731826,0.0009280705,0.001467931,0.8002975],"category_scores_gemma":[0.002032428,0.0002351778,0.0003173944,0.0006685322,0.0005386981,0.00161285,0.002609532,0.001573771,0.6372366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002454346,"about_ca_system_score_gemma":0.002450202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01869581,"about_ca_topic_score_gemma":0.08081171,"domain_scores_codex":[0.9995704,0.000046011,0.00001449077,0.00005378446,0.0001900701,0.0001252137],"domain_scores_gemma":[0.9989462,0.00003478612,0.00002050751,0.00007758912,0.0002888892,0.0006320275],"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":[0.00001155014,0.000008074341,0.00005725268,0.00002563201,7.220147e-7,0.00002425165,0.00003045787,0.00001490849,0.00003112383,0.001064173,0.9797608,0.01897103],"study_design_scores_gemma":[0.000001824549,0.000002900645,0.0001679277,0.00003882605,3.143896e-7,0.000009222127,0.00004766831,0.000006507757,0.0000215089,0.0001587886,0.9995431,0.000001527124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003955743,0.0009295725,0.0002734975,0.006227362,0.005453471,0.00005963103,0.003237608,0.001038412,0.982385],"genre_scores_gemma":[0.0008741323,0.0002496643,0.00007605751,0.0004601963,0.0001819309,0.0000097933,0.0007792762,0.0002053855,0.9971636],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1997025,"threshold_uncertainty_score":0.2848513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005015227451225209,"score_gpt":0.1852051861416883,"score_spread":0.1801899586904631,"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."}}