{"id":"W6989403021","doi":"","title":"ARCHIVEIT-279-MONTHLY-ZUJQXT-20110831054446-00031-crawling206.us.archive.org-6680.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":[0.000975706,0.00232807,0.001254234,0.006658364,0.002075832,0.005909727,0.002068884,0.001736354,0.8374048],"category_scores_gemma":[0.007282442,0.001886805,0.0008869692,0.009593754,0.0005986331,0.003906755,0.003856307,0.001326267,0.9108008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002575764,"about_ca_system_score_gemma":0.001782869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04996973,"about_ca_topic_score_gemma":0.06091363,"domain_scores_codex":[0.9992183,0.00006993039,0.00005216448,0.000151223,0.0003511301,0.0001571085],"domain_scores_gemma":[0.9949682,0.000586821,0.0002332557,0.001570674,0.001794653,0.0008463134],"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":[0.00002178495,0.00000953862,0.0001460475,0.00008416177,0.000003311135,0.000006705186,0.00003582111,0.00002561194,0.00009086685,0.0003627364,0.9894549,0.009758608],"study_design_scores_gemma":[0.00002858656,0.000006405615,0.001471564,0.00005938013,0.000003984372,0.00002542139,0.00004058129,0.0001214638,0.0005425853,0.0002583991,0.9974221,0.00001967158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006073404,0.0002264302,0.001915316,0.000498681,0.0002142631,0.0001680876,0.5981626,0.09256386,0.3056434],"genre_scores_gemma":[0.003593153,0.0004793222,0.003013574,0.000399535,0.0001352292,0.0002413508,0.4876891,0.07361238,0.4308363],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1625952,"threshold_uncertainty_score":0.2319223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008838788507632606,"score_gpt":0.1898756442691695,"score_spread":0.1810368557615369,"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."}}