{"id":"W7045090703","doi":"","title":"ARCHIVEIT-279-WEEKLY-GYEUUC-20110816135440-00000-crawling210.us.archive.org-6683.warc.gz","year":2011,"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":"Process (computing); Work (physics); Identification (biology); Product (mathematics)","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":[0.0009823191,0.002292482,0.001164756,0.006357507,0.002171776,0.005459451,0.002150151,0.001708092,0.8050712],"category_scores_gemma":[0.006958815,0.001737546,0.0008272215,0.008160442,0.0006549216,0.003839263,0.003925319,0.001281179,0.8884999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002831129,"about_ca_system_score_gemma":0.002037915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06361985,"about_ca_topic_score_gemma":0.07378099,"domain_scores_codex":[0.9992872,0.00006688751,0.00004513328,0.0001438442,0.0003135854,0.0001434192],"domain_scores_gemma":[0.995165,0.0005549509,0.0002024473,0.00160428,0.001696889,0.0007763057],"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":[0.00002360638,0.00001032011,0.0001670028,0.00007530226,0.000003062206,0.000008948366,0.00004089267,0.00003418998,0.00009603699,0.0004485595,0.9875009,0.01159118],"study_design_scores_gemma":[0.00002428802,0.000006111906,0.001237842,0.00005518545,0.000003079424,0.00002696836,0.00004125957,0.0001298876,0.0005723625,0.00024269,0.9976427,0.0000175957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007766092,0.0002615599,0.002630838,0.0005390572,0.0002655211,0.0002069028,0.554711,0.1157384,0.3248701],"genre_scores_gemma":[0.004074344,0.0004928635,0.003712701,0.000380765,0.0001231862,0.0002712491,0.4369676,0.08381468,0.4701625],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1949288,"threshold_uncertainty_score":0.2780421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009358365339859861,"score_gpt":0.1915146670632621,"score_spread":0.1821563017234023,"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."}}