{"id":"W6980014715","doi":"","title":"ARCHIVEIT-1830-NONE-URRBBG-20120309210852-00000-crawling115.us.archive.org-6680.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":[0.001079878,0.002780871,0.001468459,0.007635541,0.002078353,0.005829765,0.002609511,0.001915188,0.7159923],"category_scores_gemma":[0.008900138,0.001986004,0.0009293677,0.009227552,0.0006558817,0.003657947,0.003931486,0.001347211,0.863292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002681751,"about_ca_system_score_gemma":0.002554427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07759675,"about_ca_topic_score_gemma":0.08911419,"domain_scores_codex":[0.9989255,0.00008517836,0.00006331173,0.0002237095,0.0005057069,0.0001964904],"domain_scores_gemma":[0.9938253,0.0007328786,0.0002094774,0.001883861,0.002496991,0.0008515213],"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":[0.0000268978,0.00001124062,0.0001599488,0.0001055826,0.000004420836,0.0000081227,0.00004176977,0.00003346024,0.0001343225,0.0003768186,0.9886213,0.01047624],"study_design_scores_gemma":[0.00002885009,0.000007579369,0.001193298,0.00006653705,0.000004737664,0.00003247513,0.00004298914,0.0001529749,0.0007515149,0.0003621647,0.9973338,0.00002303339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000609861,0.0002803753,0.002963077,0.0004238479,0.000238235,0.0001896023,0.6079175,0.157544,0.2298335],"genre_scores_gemma":[0.002615469,0.0003797022,0.004697247,0.0003653856,0.00009547619,0.0002035487,0.6312645,0.1007975,0.2595812],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2840077,"threshold_uncertainty_score":0.4051024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008146435666320059,"score_gpt":0.1994216486043096,"score_spread":0.1912752129379895,"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."}}