{"id":"W7026740405","doi":"","title":"ARCHIVEIT-279-MONTHLY-GUCZKB-20120331011250-00019-crawling204.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":"Process (computing); Work (physics); Identification (biology); Product (mathematics)","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":[0.0009621955,0.002502119,0.001335087,0.006972542,0.002015953,0.005670408,0.002306246,0.001594039,0.7840193],"category_scores_gemma":[0.008160825,0.00213104,0.0008924851,0.009887037,0.0006222074,0.004033585,0.003868944,0.001383714,0.8851601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002452462,"about_ca_system_score_gemma":0.001805445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06127259,"about_ca_topic_score_gemma":0.07115583,"domain_scores_codex":[0.9991886,0.00007137419,0.00005670262,0.0001711616,0.000359446,0.0001526392],"domain_scores_gemma":[0.9944055,0.0007169957,0.0002525522,0.001713898,0.002036151,0.0008748743],"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":[0.00002452537,0.000008551658,0.0001703823,0.00009288869,0.000003820404,0.000007313163,0.00004049884,0.00002707005,0.00008285813,0.0003022837,0.9903523,0.008887507],"study_design_scores_gemma":[0.00003788161,0.000006613084,0.001839766,0.00007185301,0.00000549377,0.00003089991,0.00004745414,0.0001560809,0.0006941108,0.0003104345,0.996775,0.0000245041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005877576,0.0002158682,0.002045951,0.0004047483,0.0001678165,0.0001298678,0.6925485,0.1137224,0.190177],"genre_scores_gemma":[0.003648095,0.0004420339,0.003378035,0.0003564059,0.0001160782,0.0002385105,0.6174,0.1001829,0.2742379],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2159807,"threshold_uncertainty_score":0.3080702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0077182710179537,"score_gpt":0.1956244162887159,"score_spread":0.1879061452707622,"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."}}