{"id":"W7008063124","doi":"","title":"ARCHIVEIT-1830-NONE-RIMBHB-20111025032031-00000-crawling207.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":[0.001100898,0.00259627,0.001359664,0.007030286,0.002023756,0.00570919,0.00268981,0.001894647,0.7268539],"category_scores_gemma":[0.008542607,0.001944457,0.0008980801,0.008701952,0.0006482874,0.00374205,0.003902502,0.001394858,0.8661782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002647093,"about_ca_system_score_gemma":0.002493663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06764977,"about_ca_topic_score_gemma":0.0790009,"domain_scores_codex":[0.9990183,0.00007590249,0.00005881702,0.0001921389,0.0004702336,0.0001846375],"domain_scores_gemma":[0.9936802,0.000757889,0.000219813,0.002030376,0.002396962,0.0009146762],"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":[0.00003006699,0.00001317791,0.000157336,0.00009761831,0.00000435373,0.00000864196,0.00003421248,0.00003980988,0.0001370909,0.0004055114,0.987676,0.01139609],"study_design_scores_gemma":[0.00003271926,0.000008992823,0.001228125,0.00006395269,0.000004583467,0.00003481065,0.0000391524,0.0001800873,0.0008170528,0.0003803377,0.9971866,0.00002370306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006899513,0.000264339,0.003170512,0.0004758749,0.0002510383,0.0002098529,0.5693902,0.1599791,0.265569],"genre_scores_gemma":[0.002730354,0.0003704772,0.004666881,0.000373957,0.00009903743,0.0002200292,0.5884205,0.09556436,0.3075544],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2731461,"threshold_uncertainty_score":0.3896098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00956582439976262,"score_gpt":0.1941089284518439,"score_spread":0.1845431040520812,"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."}}