{"id":"W7008089344","doi":"","title":"ARCHIVEIT-1830-NONE-TSWTZR-20111121035746-00001-crawling115.us.archive.org-6683.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":[0.001075502,0.002624036,0.001368281,0.007500355,0.002213852,0.006029369,0.002583695,0.001797597,0.7331366],"category_scores_gemma":[0.009007565,0.001863543,0.0008632265,0.01003088,0.0006636028,0.003560834,0.003790296,0.0013437,0.8709529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002759099,"about_ca_system_score_gemma":0.002903579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08536111,"about_ca_topic_score_gemma":0.1071764,"domain_scores_codex":[0.9989623,0.00007597839,0.00006364643,0.0002028339,0.0005070464,0.000188219],"domain_scores_gemma":[0.9931646,0.0007901756,0.0002321085,0.002071496,0.002823616,0.0009181271],"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":[0.00002590179,0.00001136306,0.0001596026,0.00009513977,0.000004029146,0.000008470025,0.00003794645,0.00003687114,0.0001238947,0.0003942812,0.9882658,0.0108367],"study_design_scores_gemma":[0.00002593532,0.000006890795,0.001134386,0.00006155003,0.000004391349,0.00003090359,0.00004731665,0.0001524857,0.0006723484,0.000349571,0.9974935,0.00002068908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006307847,0.0002496417,0.002988231,0.0004435552,0.0002391158,0.0001948978,0.6148874,0.129995,0.2503714],"genre_scores_gemma":[0.002387066,0.000363069,0.004375668,0.0003116215,0.0000851943,0.000198215,0.6156704,0.07590669,0.3007022],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2668634,"threshold_uncertainty_score":0.3806483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009394830440390073,"score_gpt":0.1932253889897346,"score_spread":0.1838305585493445,"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."}}