{"id":"W7008121928","doi":"","title":"ARCHIVEIT-1830-WEEKLY-TFPWZS-20120828182859-00000-crawling208.us.archive.org-6681.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":"Identification (biology); Work (physics); Process (computing)","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":[0.0009594648,0.0026931,0.001268893,0.008407994,0.001815613,0.005330617,0.002300776,0.001531625,0.6652526],"category_scores_gemma":[0.007980385,0.001805947,0.0009236271,0.01072837,0.0005587222,0.003282387,0.003316703,0.001277198,0.8176581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002459577,"about_ca_system_score_gemma":0.002553038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08474863,"about_ca_topic_score_gemma":0.101916,"domain_scores_codex":[0.999119,0.00006138696,0.0000520898,0.0001804898,0.0004143891,0.0001727623],"domain_scores_gemma":[0.9945504,0.0005966178,0.0001991628,0.001482454,0.002380438,0.0007909518],"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":[0.00002422202,0.000009985696,0.0001534726,0.00009617059,0.000004473442,0.000007191838,0.00003405967,0.00003575845,0.0001155745,0.0002932521,0.989185,0.01004094],"study_design_scores_gemma":[0.00003170134,0.000008066126,0.001632296,0.00006937249,0.000005720034,0.00002994421,0.0000441138,0.0001919717,0.0007452623,0.0003826515,0.9968353,0.00002376427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005741382,0.0002427616,0.002304733,0.0003390269,0.0001947288,0.0001470625,0.7120055,0.1181378,0.1660543],"genre_scores_gemma":[0.002372551,0.000383128,0.004053562,0.0002390292,0.00008598045,0.0001822165,0.6996445,0.0731103,0.2199288],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3347474,"threshold_uncertainty_score":0.4774765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008141403658061807,"score_gpt":0.1976117941329363,"score_spread":0.1894703904748745,"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."}}