{"id":"W7045392825","doi":"","title":"ARCHIVEIT-1830-NONE-NTWIHD-20111212181141-00000-crawling115.us.archive.org-6680.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":[0.001041887,0.002693152,0.00144591,0.007569299,0.002232796,0.00586565,0.002603596,0.001820615,0.7046142],"category_scores_gemma":[0.008498673,0.001960805,0.0008946976,0.01000413,0.000643689,0.00370181,0.003924383,0.001343129,0.8577625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00299375,"about_ca_system_score_gemma":0.00300115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09140024,"about_ca_topic_score_gemma":0.116294,"domain_scores_codex":[0.9989454,0.000078982,0.00006420181,0.0002019415,0.0005122939,0.0001972107],"domain_scores_gemma":[0.9938035,0.0006925566,0.0002110727,0.001841131,0.002563573,0.0008881399],"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":[0.0000261864,0.00001090449,0.000136599,0.00009488243,0.000003790833,0.000008031924,0.0000364569,0.00003117316,0.0001302729,0.0003284631,0.9891906,0.01000279],"study_design_scores_gemma":[0.00002430182,0.000006400775,0.001061793,0.00005785395,0.000004062252,0.00002855333,0.0000436603,0.0001522694,0.0007354183,0.0003228709,0.9975413,0.00002154447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005827593,0.0002368768,0.002768979,0.0004256034,0.0002405262,0.0001935966,0.6615055,0.1209021,0.2131441],"genre_scores_gemma":[0.002125879,0.0003415016,0.004263357,0.000293214,0.00007893019,0.0001975265,0.6563431,0.07079872,0.2655578],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2953858,"threshold_uncertainty_score":0.4213319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009458343525651322,"score_gpt":0.1929137828310796,"score_spread":0.1834554393054283,"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."}}