{"id":"W7028772927","doi":"","title":"HIST 5702 X Crompton Wilkinson Un Essay","year":2014,"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":"Frith; Subject (documents); Focus (optics)","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":[0.0006003255,0.0005645749,0.0002821392,0.001289899,0.00335214,0.005290528,0.000513387,0.001151485,0.3390955],"category_scores_gemma":[0.002518696,0.0002616883,0.0002049314,0.0009797945,0.0009267896,0.002422435,0.002006531,0.001885815,0.1246159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003200611,"about_ca_system_score_gemma":0.001723959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022764,"about_ca_topic_score_gemma":0.0268068,"domain_scores_codex":[0.9994535,0.00007721991,0.00001343761,0.0001145049,0.0002810475,0.00006031923],"domain_scores_gemma":[0.9991099,0.0001650298,0.0000321086,0.00007833529,0.0003853375,0.0002292934],"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":[0.000004569335,0.000005029424,0.00003005718,0.00001391614,3.969878e-7,0.00001651675,0.00006448064,0.00001144612,0.00004330562,0.003253462,0.982624,0.01393288],"study_design_scores_gemma":[3.474161e-7,0.000001283731,0.0000412256,0.00002443361,1.682977e-7,0.00001322947,0.00008826616,0.000005732461,0.00002086843,0.0001860951,0.9996176,7.943913e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006450743,0.0100247,0.0007234341,0.02625677,0.03032609,0.00005328155,0.0003660931,0.0003694288,0.931235],"genre_scores_gemma":[0.00150554,0.001140135,0.00009387905,0.00108409,0.0007998729,0.00001055299,0.00004589366,0.00009880573,0.9952212],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6609045,"threshold_uncertainty_score":0.9427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003571657619907116,"score_gpt":0.1692464053132419,"score_spread":0.1656747476933348,"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."}}