{"id":"W6980001257","doi":"","title":"ARCHIVEIT-1830-NONE-BLTYFO-20120202225934-00000-crawling208.us.archive.org-6681.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":[0.001008939,0.00256787,0.001357335,0.007449275,0.002105294,0.005868896,0.002560998,0.00179568,0.7652026],"category_scores_gemma":[0.008611289,0.001876961,0.0009089382,0.008922104,0.0006625004,0.003687033,0.003825656,0.001329896,0.8802007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002626995,"about_ca_system_score_gemma":0.002530633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07528984,"about_ca_topic_score_gemma":0.09081597,"domain_scores_codex":[0.9990613,0.0000672566,0.00005227096,0.0001916786,0.0004511622,0.000176327],"domain_scores_gemma":[0.9938616,0.0007027562,0.0002011947,0.001824383,0.002492421,0.0009177634],"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":[0.00002614525,0.00001205654,0.0001574048,0.00009590039,0.000004109929,0.000008363913,0.00003972075,0.00003258229,0.0001297214,0.0003859222,0.9864076,0.01270045],"study_design_scores_gemma":[0.00002733652,0.000007460821,0.001172827,0.00006540265,0.00000432673,0.00003381864,0.00004114321,0.0001465013,0.0006580648,0.0003694494,0.9974514,0.0000222341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006444677,0.0002890409,0.003312523,0.0004748455,0.0002563248,0.0002107455,0.5175201,0.170312,0.30698],"genre_scores_gemma":[0.002888781,0.0004178675,0.005000721,0.0004022155,0.0001060363,0.0002180214,0.5110779,0.10541,0.3744784],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2347974,"threshold_uncertainty_score":0.3349099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008195220704533948,"score_gpt":0.1989143581579377,"score_spread":0.1907191374534037,"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."}}