{"id":"W7045546027","doi":"","title":"ARCHIVEIT-1830-MONTHLY-JZRKSY-20120214162051-00004-crawling211.us.archive.org-6682.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":[0.0009632017,0.002447445,0.001281132,0.008281438,0.001948613,0.005785247,0.002060278,0.001415251,0.7081041],"category_scores_gemma":[0.007943655,0.001753176,0.000907423,0.01117141,0.0005674495,0.003095449,0.003173019,0.001242043,0.8414941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002583192,"about_ca_system_score_gemma":0.00254104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09704829,"about_ca_topic_score_gemma":0.1144246,"domain_scores_codex":[0.9991091,0.00005937662,0.00005209991,0.0001673649,0.0004415394,0.0001705673],"domain_scores_gemma":[0.9942463,0.0006453781,0.0002268307,0.001513085,0.002524124,0.0008443341],"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":[0.00002440019,0.000009617747,0.000178806,0.00009072386,0.000004435763,0.000006956494,0.00003535421,0.00003093525,0.0001006414,0.0002929415,0.9891497,0.01007549],"study_design_scores_gemma":[0.00002970838,0.000006156567,0.001838981,0.00006327641,0.000005400833,0.00002435049,0.00004171692,0.0001393317,0.0006282787,0.0003213751,0.9968792,0.00002227713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005857318,0.000244915,0.0017596,0.0003569433,0.0001899003,0.000130598,0.7063884,0.09764455,0.1926994],"genre_scores_gemma":[0.00274701,0.000425803,0.003729601,0.0003025891,0.0001042682,0.0001813535,0.6635064,0.07254875,0.2564542],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2918959,"threshold_uncertainty_score":0.416354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007385226659846054,"score_gpt":0.1950410509625556,"score_spread":0.1876558243027096,"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."}}