{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007280272,0.001085461,0.000757877,0.00159481,0.003210013,0.005764623,0.002163917,0.002036532,0.8815634],"category_scores_gemma":[0.005420642,0.0006075829,0.000469381,0.001655094,0.0007037997,0.004439399,0.005277045,0.001507314,0.8155226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002030806,"about_ca_system_score_gemma":0.002871205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03401676,"about_ca_topic_score_gemma":0.09047993,"domain_scores_codex":[0.9994185,0.00006189075,0.00002072677,0.0001036367,0.0002636431,0.0001316575],"domain_scores_gemma":[0.9973036,0.0002443278,0.00007154373,0.0004957131,0.001069101,0.0008156596],"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":[0.00002184493,0.000006582279,0.00006951156,0.00004958688,8.315271e-7,0.00002333781,0.00006897916,0.00001315016,0.00007085322,0.001323507,0.9708245,0.02752725],"study_design_scores_gemma":[0.00000268275,0.000002311202,0.00007443343,0.00002730092,6.245493e-7,0.00002475042,0.00005149185,0.00001905871,0.00005226264,0.00032406,0.9994169,0.000004112296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005030069,0.0005017426,0.002547424,0.002319837,0.001495565,0.0001138831,0.01219053,0.02259373,0.9577343],"genre_scores_gemma":[0.002158364,0.0003009806,0.001225928,0.00111648,0.0001128851,0.00006274311,0.006268139,0.009173448,0.9795811],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1184366,"threshold_uncertainty_score":0.1689355,"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."}}