{"id":"W7012127659","doi":"","title":"#DontRushMyNugget","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Swing; Point (geometry); Subject (documents); Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001541666,0.000256415,0.0003284572,0.0001053888,0.00004982037,0.00013904,0.0006663835,0.0003197807,0.07088404],"category_scores_gemma":[0.00004526121,0.0002451265,0.0001211247,0.000009579478,0.0000807766,3.704487e-7,0.0001348441,0.0002234363,0.02738716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002638333,"about_ca_system_score_gemma":0.00006974188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001103089,"about_ca_topic_score_gemma":0.0001044429,"domain_scores_codex":[0.9987189,0.0000433975,0.0004176468,0.0002343083,0.0003376362,0.0002481001],"domain_scores_gemma":[0.9986944,0.0000396436,0.0005470673,0.0005311609,0.0001168419,0.00007090042],"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":[0.000005981833,0.00001351873,7.730305e-7,0.0003145815,0.00002390844,0.000004402204,0.00005465605,0.00003241211,1.43719e-7,0.0001731686,0.9711261,0.02825033],"study_design_scores_gemma":[0.0003065589,0.00005221191,0.000001209689,0.0002179512,0.00001425146,0.00012942,0.00001521657,0.0002505502,0.00001444408,0.00003532368,0.9986905,0.0002723053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001386436,0.0004152234,0.00009107973,0.0001985108,0.000988989,0.0002193173,0.00002066041,0.0003741797,0.9976907],"genre_scores_gemma":[0.00005877567,0.00009775264,0.01663579,0.0001966867,0.0001377057,0.000005911403,0.00002482154,0.00006481964,0.9827777],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04349688,"threshold_uncertainty_score":0.9995968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004231435280015953,"score_gpt":0.1736476188267884,"score_spread":0.1694161835467724,"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."}}