{"id":"W6980040865","doi":"","title":"ARCHIVEIT-1830-NONE-FDXBTN-20111101190923-00000-crawling113.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":"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":[0.001113289,0.002457896,0.001317272,0.007016392,0.002168438,0.0059507,0.002592177,0.001741222,0.7381809],"category_scores_gemma":[0.008673931,0.001880276,0.0008714155,0.008919941,0.0006555817,0.003590336,0.003757077,0.001358467,0.8663541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002764585,"about_ca_system_score_gemma":0.002909752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08004523,"about_ca_topic_score_gemma":0.09879635,"domain_scores_codex":[0.9989638,0.00007674111,0.00006235195,0.0002002403,0.0005057898,0.0001910714],"domain_scores_gemma":[0.9934685,0.0007575989,0.0002216547,0.002014615,0.002649382,0.0008881496],"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":[0.00002551824,0.00001198716,0.0001551148,0.00009254322,0.000003902455,0.000008114464,0.00003729725,0.00003757547,0.0001314566,0.0004326034,0.98667,0.01239388],"study_design_scores_gemma":[0.00002436247,0.000006809643,0.001068659,0.00006153787,0.000004118175,0.00002959281,0.00004160987,0.0001544285,0.0006648721,0.0003521709,0.9975714,0.00002055779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006521971,0.0002610443,0.003449969,0.0004705049,0.0002598228,0.0002171297,0.5420917,0.1423891,0.3102084],"genre_scores_gemma":[0.002602461,0.0003862006,0.005092696,0.0003539933,0.00009177015,0.000215866,0.5401145,0.08386593,0.3672766],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2618191,"threshold_uncertainty_score":0.3734532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009479107890550956,"score_gpt":0.1927057668090917,"score_spread":0.1832266589185408,"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."}}