{"id":"W6980000928","doi":"","title":"ARCHIVEIT-2901-MONTHLY-ARONKF-20120110092648-00004-crawling204.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); Process (computing); Product (mathematics); Work (physics)","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":[0.001090207,0.002259651,0.001344142,0.008104164,0.001937775,0.005737494,0.002340412,0.001633731,0.8056122],"category_scores_gemma":[0.009501466,0.001704327,0.0009716821,0.01154063,0.0005551444,0.003617809,0.003183178,0.001443135,0.9084616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002333444,"about_ca_system_score_gemma":0.002275336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05703011,"about_ca_topic_score_gemma":0.06256243,"domain_scores_codex":[0.9990472,0.00007990478,0.00006028573,0.0001834248,0.0004641596,0.0001651142],"domain_scores_gemma":[0.9938187,0.0008465732,0.0002438358,0.001696925,0.002589138,0.0008049443],"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":[0.00001936257,0.000009825488,0.0001334179,0.00006628977,0.000002916361,0.000005243769,0.00002395724,0.0000252471,0.00005564278,0.0002848216,0.9886686,0.01070477],"study_design_scores_gemma":[0.00002562818,0.000005050359,0.001139238,0.00006114914,0.000003812139,0.0000207172,0.00002937451,0.0001154461,0.0004126068,0.0003781443,0.9977914,0.0000174435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004430054,0.0001989347,0.002044384,0.0004194025,0.0001779994,0.0001320053,0.6870099,0.07520498,0.2343694],"genre_scores_gemma":[0.002394624,0.0004051474,0.003818686,0.0003493979,0.0001191311,0.0002489285,0.6039678,0.06495098,0.3237453],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1943878,"threshold_uncertainty_score":0.2772705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007450059550973776,"score_gpt":0.1940008248984985,"score_spread":0.1865507653475247,"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."}}