{"id":"W7017292790","doi":"","title":"ARCHIVEIT-279-WEEKLY-HCUUSF-20120501135544-00000-crawling109.us.archive.org-6683.warc.gz","year":2012,"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":[0.00106505,0.002184856,0.001159645,0.006676388,0.002210217,0.005635794,0.0023142,0.001735301,0.8151792],"category_scores_gemma":[0.008786045,0.001907178,0.0008735578,0.008445212,0.0006301572,0.003955873,0.003912662,0.001324321,0.8953283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002578892,"about_ca_system_score_gemma":0.001984841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05687968,"about_ca_topic_score_gemma":0.07070766,"domain_scores_codex":[0.9991233,0.00007854661,0.00006100712,0.0001797137,0.0004009015,0.000156547],"domain_scores_gemma":[0.9937385,0.0007643309,0.0002413284,0.00204399,0.002260955,0.0009508202],"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":[0.00002215818,0.00001145227,0.0001789413,0.00007748362,0.000003275753,0.000007948674,0.00004424511,0.00002701739,0.00009708045,0.0003644967,0.9876606,0.01150509],"study_design_scores_gemma":[0.00002921008,0.000006885547,0.001475824,0.0000610594,0.000004018679,0.0000307134,0.00004460943,0.0001437559,0.0006488489,0.0002648963,0.99727,0.00002018886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000726387,0.0002308605,0.002900209,0.0005279055,0.0002450035,0.0002180191,0.5489891,0.1276704,0.3184921],"genre_scores_gemma":[0.003687269,0.0004155653,0.004112338,0.0003993466,0.0001299151,0.0002710342,0.4511671,0.09296305,0.4468544],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1848208,"threshold_uncertainty_score":0.2636245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008150825155668498,"score_gpt":0.1967277106697322,"score_spread":0.1885768855140637,"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."}}