{"id":"W6989319627","doi":"","title":"ARCHIVEIT-1830-NONE-YVRXKH-20111009184946-00000-crawling113.us.archive.org-6681.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":[0.001094715,0.002555215,0.001375735,0.007487278,0.002165654,0.005893261,0.002407606,0.001758508,0.7437813],"category_scores_gemma":[0.00834728,0.00183074,0.0008860492,0.009605178,0.0006781517,0.003520515,0.003862404,0.00127815,0.8733987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002720191,"about_ca_system_score_gemma":0.00289863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08785525,"about_ca_topic_score_gemma":0.1046384,"domain_scores_codex":[0.9989691,0.00007685995,0.0000620932,0.000202874,0.0004984166,0.0001907716],"domain_scores_gemma":[0.9936129,0.000728706,0.000216178,0.001959529,0.002634672,0.0008479762],"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":[0.00002595541,0.00001081796,0.000164276,0.0001013462,0.00000439948,0.000008275223,0.00003918892,0.00003605325,0.0001412323,0.0003638329,0.9868731,0.0122315],"study_design_scores_gemma":[0.00002627752,0.000006992474,0.001228012,0.00006147262,0.000004395343,0.00002976908,0.00004685983,0.0001458617,0.0006955617,0.0003237556,0.9974093,0.00002178271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006544116,0.0002910914,0.003017362,0.0004704442,0.0002682184,0.0001995503,0.6115555,0.1387885,0.244755],"genre_scores_gemma":[0.002617114,0.0004086338,0.004631298,0.0003481705,0.00009182134,0.0002037998,0.5932471,0.07995762,0.3184945],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2562187,"threshold_uncertainty_score":0.3654648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009414578593306333,"score_gpt":0.1931720108954154,"score_spread":0.1837574323021091,"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."}}